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<!DOCTYPE html>
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<title>Akash Singh</title>
<meta name="description" content="Akash Singh - Software Engineer II at Amazon (AWS) / Amazon Alexa. Python, Java, TypeScript, AWS.">
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<!-- Header Start -->
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<h2>
Akash Singh
</h2>
<h4>
Software Engineer · AI/ML
</h4>
</div>
</header>
<!-- Header End -->
<!-- Main Tab Container -->
<div id="tab-container" class="tab-container">
<!-- Tab List -->
<ul class='etabs'>
<li class='tab' id="tab-about">
<a href="#about"><i class="icon-user"></i><span> About Me</span></a>
</li>
<li class='tab'>
<a href="#resume"><i class="icon-file-text"></i><span> Resume</span></a>
</li>
<li class='tab'>
<a href="#academicWriting"><i class="icon-heart"></i><span> Academic Writings</span></a>
</li>
<li class='tab'>
<a href="#contact"><i class="icon-envelope"></i><span> Contact</span></a>
</li>
</ul>
<!-- End Tab List -->
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<!-- About Tab Data -->
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<div class="g2">
<div class="photo">
<img src="akash.jpg" alt="Akash Singh">
</div>
<div class="info">
<h2>
Akash Singh
</h2>
<h4>
Software Engineer · AI/ML
</h4>
<p>
I am a <a href="https://www.mcgill.ca/">McGill University</a> graduate (MSc -
Computer Science) currently working as a Software Engineer II at
<a href="https://aws.amazon.com/">Amazon (AWS)</a> / Amazon Alexa in Bengaluru, India.
I have over 8 years of industry experience spanning software engineering, AI/ML,
and cloud infrastructure across companies including Amazon, Sophos, Intact, Via Science,
and Cognizant.
</p>
<p>
At Amazon, I have built config-driven autonomous agentic systems that reduced
marketplace launch effort from 26 weeks to ~1 week, co-invented a patent-pending
Alexa+ conversational feedback mechanism, and developed a RAG system supporting
1850 TPS traffic. Previously at AWS re:Post, I drove an 86% performance improvement
via SEO and A11Y optimizations and built the multi-language feature that increased
customer usage by 4x.
</p>
<p>
My research background includes first-author publications at AAAI and HCOMP on
citizen science genomics games
(<a href="https://phylo.cs.mcgill.ca/">Phylo</a> and
<a href="https://kovik.cs.mcgill.ca">OpenPhylo</a>), now deployed at the
Science and Technology Museum, Ottawa. I am also an AWS Certified professional.
</p>
</div>
</div>
<div class="g1">
<div class="main-links sidebar">
<ul>
<li>
<a href="#resume">View My Resume</a>
</li>
<li>
<a href="#academicWriting">Academic Writings</a>
</li>
<li>
<a href="#contact">Get in Touch</a>
</li>
<li>
<a href="#academicWriting">Blogs</a>
</li>
</ul>
</div>
</div>
<div class="break"></div>
<div class="contact-info">
<div class="g1">
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<i class="icon-Github"></i>
<div class="item-data">
<h3><a href="https://github.com/akashzcoder">GitHub Profile</a></h3>
<p>GitHub Account</p>
</div>
</div>
</div>
<div class="g1">
<div class="item-box clearfix">
<i class="icon-academia"></i>
<div class="item-data">
<h3><a href="https://mcgill.academia.edu/AkashSingh">Academic Writings</a></h3>
<p>Academia Profile</p>
</div>
</div>
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<i class="icon-linkedIn"></i>
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<h3><a href="https://www.linkedin.com/in/akashsingh">@akashsingh</a></h3>
<p>LinkedIn</p>
</div>
</div>
</div>
</section>
</div>
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<div id="resume">
<br>
<button class="download"><a href="SinghAkashResumeMar16.pdf" download>Download as PDF</a></button>
<br>
<section class="clearfix">
<div class="g2">
<br>
<h5>
EDUCATION
</h5>
<div class="card">
<h5 class="card-header">MS in Computer Science</h5>
<div class="card-body">
<h5 class="card-title">
<b>McGill University</b>
</h5>
<p class="card-text"> Montreal, QC, Canada<br>
Graduated May 2019</p>
</div>
</div>
<br>
<br>
<ul class="no-list work">
<h5>
WORK EXPERIENCE
</h5>
<!-- Amazon -->
<li>
<h5>
Software Engineer II, Amazon (AWS) / Amazon Alexa
</h5><span class="label label-info">April 2022 - Present · Bengaluru, KA</span>
<p>
<strong>Tech:</strong> Java, Python, TypeScript, Express.js, Node.js, Next.js, AWS cloud stack<br><br>
→ Config driven autonomous agentic system for launching Fee type to a new marketplace.
Launching a fee to a new marketplace used to take 26 weeks of SDE effort; with autonomous agents,
this was reduced to ~1 week.<br>
→ Inventor in Patent in review for Alexa+ conversational bug reporting or feedback mechanism: Feedback Expert.<br>
→ Retrieval-augmented generation (RAG) system for Alexa Feedback processing to support 1850 TPS traffic.<br>
→ Designed and developed frontend and backend services at AWS re:Post. Worked on SEO and A11Y
which resulted in performance improvement of 86% of page hits based on Google Analytics.<br>
→ Integrated Content Curation model to moderate content in re:Post.<br>
→ Multi-language feature developed for <a href="https://repost.aws/">repost.aws</a>,
increasing customer usage by 4 folds.
</p>
</li>
<!-- Sophos -->
<li>
<h5>
Senior Software Engineer II, Sophos MTR
</h5><span class="label label-info">June 2021 - April 2022 · Montreal, QC (Remote)</span>
<p>
<strong>Tech:</strong> Python, Gunicorn, Golang, Terraform, Bash, Kafka, Kinesis, SNS, SQS, Parquet<br>
<strong>Tools:</strong> Spring Boot, Maven, ELK stack, Kubernetes, Jenkins, Pytest, AWS<br><br>
→ Designed and developed consumers/producers to store streaming endpoint/firewall data to data lake.<br>
→ Setup telemetry and alerts for monitoring and performance analysis.<br>
→ Reduced EC2 instances required by 8x (e.g. 128 to 16 in us-west-2) by migrating consumers from Python to Golang.<br>
→ Deep learning model for threat detection in packets captured via pf_ring by converting them into spiral images.
</p>
</li>
<!-- Intact -->
<li>
<h5>
AI Developer II, Intact
</h5><span class="label label-info">August 2020 - June 2021 · Toronto, ON</span>
<p>
<strong>Tech:</strong> Python, Rule Engine, Consumer, Drools, Java, MongoDB, Confluent Kafka<br>
<strong>Tools:</strong> Spring Boot, Maven, ELK stack, Kubernetes, Git CI, Pytest, AWS<br><br>
→ Architecture, Design, Build, Implement and Test claims document classification consumer component.<br>
→ ML Model for insurance claim classification using an ensemble of NLP and image based deep learning model.<br>
→ Developed A/B testing model pipeline for different model deployments based on language and region.<br>
→ Optimized ML model deployment pipeline to enable push button model update.<br>
→ Setup Logging pipeline to separate user logs with application logs for D&A dashboards.<br>
→ Conducted stakeholder demos, internal training and coaching for code quality.
</p>
</li>
<!-- Via Science -->
<li>
<h5>
Research Software Developer, Via Science
</h5><span class="label label-info">January 2019 - June 2020 · Montreal, QC</span>
<p>
<strong>Tech:</strong> Python, PostgreSQL, SQLAlchemy<br>
<strong>Tools:</strong> Django, Tornado, Pytest, Asyncio, Git, AWS, Conda, Redis, Docker, RabbitMQ, Celery<br><br>
→ Designed and developed RESTful web services and Stateless servers following “The 12 Factor App” methodology.<br>
→ Developed scoring algorithm as labels for transformers and used it to create multiclass ML model.<br>
→ Enabled User Acceptance Testing by revising the conda package to enable product usage.<br>
→ Designed and developed pipeline for integrating ML models in the product for customer usage.<br>
→ Wrote scripts for automated integration tests and Behaviour Driven Development tests.
</p>
</li>
<!-- McGill RA -->
<li>
<h5>
Research Assistant, McGill University
</h5><span class="label label-info">January 2017 - August 2018 · Montreal, QC</span>
<p>
<strong>Tech:</strong> Python, Angular, Node.js, PostgreSQL<br>
<strong>Tools:</strong> Phylo, OpenPhylo, Citizen Science, AWS, Docker, RabbitMQ<br><br>
→ Proposed a new framework for game Phylo after analysis of data collected since 2010. Paper published in HCOMP.<br>
→ Enhanced difficulty prediction of puzzles by ~12% using Neural Networks. Paper published in AAAI.<br>
→ End-to-end development of OpenPhylo reducing manual effort of extracting Phylo puzzles to 0.<br>
→ Integrated Teaching Portal to OpenPhylo increasing players count by 15%.<br>
→ Phylo is deployed in Science and Technology Museum, Ottawa.
</p>
</li>
<!-- McGill TA -->
<li>
<h5>
Teaching Assistant, McGill University
</h5><span class="label label-info">September 2017 - December 2018 · Montreal, QC</span>
<p>
<strong>Tech:</strong> Java, UMLet, MEAN stack<br><br>
→ Designed an assignment (with solution) requiring students to do Test Driven Development (TDD).<br>
→ Provided comprehensive tutorials on 12-Factor-App.<br>
→ Answered course related questions from students on the course discussion board.
</p>
</li>
<!-- Cognizant -->
<li>
<h5>
Programmer Analyst, Cognizant
</h5><span class="label label-info">June 2014 - June 2016 · Chennai, IN</span>
<p>
<strong>Tech:</strong> Java, J2EE, Hibernate, MySQL<br><br>
→ Architectured, designed and implemented extraction of variables from Calligo scripts to increase productivity by ~13%. Digital Superstar for 2 quarters.<br>
→ Automated the process of maintaining bugs related to similar issues and assigning them to the same person.<br>
→ Made way for the adoption of xDashboard stack by client via a successful PoC.
</p>
</li>
</ul>
<h5>
PUBLICATIONS
</h5>
<ul class="no-list work">
<li>
<h5><a href="https://iubmb.onlinelibrary.wiley.com/doi/10.1002/bmb.21796">A storified citizen science computer game to teach and contribute to genomic data analysis</a></h5>
<span class="label label-info">Co-author · Genomics · July 2022</span>
</li>
<li>
<h5><a href="https://aaai.org/papers/00177-13309-lessons-from-an-online-massive-genomics-computer-game/">Lessons from an Online Massive Genomics Computer Game</a></h5>
<span class="label label-info">First-author · AAAI · September 2017</span>
<p>Identify patterns that contribute to success and pitfalls in a Citizen Science product. Show how Phylo has been used to improve a reference alignment of Ebola virus sequences.</p>
</li>
<li>
<h5><a href="https://www.humancomputation.com/2017/papers/100_human-computation-platform.pdf">A HCI platform for multi-scale genome analysis</a></h5>
<span class="label label-info">First-author · HCOMP · August 2017</span>
<p>A citizen science framework for collective curation genomic annotation at multiple levels of ancestry.</p>
</li>
<li>
<h5><a href="https://www.ijedr.org/">Chaos Based Cryptosystem for Images</a></h5>
<span class="label label-info">First-author · IJEDR · Fall 2013</span>
</li>
<li>
<h5><a href="https://ieeexplore.ieee.org/">Debit card security based on chaos function and QR code</a></h5>
<span class="label label-info">First-author · IEEE · Winter 2014</span>
</li>
</ul>
<h5>
PROJECTS
</h5>
<ul class="no-list work">
<li>
<h5><a href="https://kovik.cs.mcgill.ca/">OpenPhylo (Thesis)</a></h5>
<p>Designed an improved crowd-computing platform using CNN-based MSA region identification, difficulty prediction, player-puzzle routing, and enhanced feedback mechanisms to solve the multiple sequence alignment problem.</p>
</li>
<li>
<h5><a href="https://phylo.cs.mcgill.ca/">Phylo</a></h5>
<p>Developed ML models and RESTful APIs (Node, Express, MongoDB) for a citizen-science game that crowdsources solutions to the Multiple Sequence Alignment problem.</p>
</li>
<li>
<h5><a href="https://github.com/akashzcoder/Stackoverflow-tag-detection">Stackoverflow #tag prediction</a></h5>
<p>Built an NLP model using multilabel classification to predict tags for StackOverflow posts.</p>
</li>
<li>
<h5><a href="https://github.com/akashzcoder/NLP_LetterBasedLanguageClassification">Mini Project: Lessons from a letter based language classifier</a></h5>
<p>Compared Naïve Bayes, Logistic Regression, k-NN, and SVM for letter-based language classification using centroid-based and tf-idf approaches.</p>
</li>
<li>
<h5><a href="https://github.com/akashzcoder/ChineseCorpusCreation_LetterBasedLanguageClassification">A New Chinese Dialogue Corpus Extracted from Baidu Tieba</a></h5>
<p>Introduced a Chinese dialogue corpus designed for training goal-driven end-to-end dialogue systems.</p>
</li>
<li>
<h5>QCidRoster</h5>
<p>Built a tool to track change requests and intelligently assign defects to the most suitable developers based on requirement document knowledge.</p>
</li>
<li>
<h5><a href="https://kovik.cs.mcgill.ca/">Teaching Portal</a></h5>
<p>Built a portal for instructors to create MSA assignments, finding that domain-knowledgeable students outperform casual players on difficult puzzles.</p>
</li>
<li>
<h5><a href="https://www.academia.edu/36105998/ICLR_Reproducibility_Challenge_CONVOLVING_DNA_USING_TWO_DIMENSIONAL_HILBERT_CURVE_REPRESENTATIONS">ICLR Reproducibility Challenge</a></h5>
<p>Investigated the reproducibility of the ICLR 2018 paper “Convolving DNA Using Two-Dimensional Hilbert Curve Representations.”</p>
</li>
<li>
<h5><a href="https://github.com/akashzcoder/HibernateORM-CORE">Concern-Oriented Reuse (CORE) for Hibernate Framework</a></h5>
<p>Reverse-engineered Hibernate ORM to create a reusable CORE file by weaving Reusable Aspect Models (RAM) and generating source code from UML 2.0 sequence diagrams.</p>
</li>
<li>
<h5><a href="https://mcgill.academia.edu/AkashSingh">Reverse Engineering of WSO2 IoTServer</a></h5>
<p>Conducted a comprehensive architectural reverse-engineering study of the WSO2 IoT device-management-server framework, analyzing its static and dynamic components.</p>
</li>
</ul>
<h3>
Certifications
</h3>
<ul class="no-list work">
<li>
<p>
AWS Certified (Credential ID: 5FNBKH92D2VQQBK0)
</p>
</li>
</ul>
</div>
<div class="g1">
<div class="sidebar">
<h3>
SKILLS
</h3>
<h5>
Programming Languages
</h5>
<div class="meter emerald">
<span style="width: 90%"><span>Python</span></span>
</div>
<div class="meter asbestos">
<span style="width: 85%"><span>Java</span></span>
</div>
<div class="meter carrot">
<span style="width: 85%"><span>TypeScript</span></span>
</div>
<div class="meter midnight">
<span style="width: 60%"><span>Golang</span></span>
</div>
<div class="meter sunflower">
<span style="width: 50%"><span>Bash</span></span>
</div>
<div class="break"></div>
<h5>
Frameworks & Tools
</h5>
<div class="meter emerald">
<span style="width: 90%"><span>Node.js / Express.js</span></span>
</div>
<div class="meter midnight">
<span style="width: 85%"><span>Next.js</span></span>
</div>
<div class="meter carrot">
<span style="width: 80%"><span>Django / Tornado</span></span>
</div>
<div class="meter asbestos">
<span style="width: 80%"><span>Spring Boot</span></span>
</div>
<div class="meter sunflower">
<span style="width: 75%"><span>Terraform</span></span>
</div>
<div class="break"></div>
<h5>
Cloud & Infrastructure
</h5>
<div class="meter emerald">
<span style="width: 90%"><span>AWS</span></span>
</div>
<div class="meter midnight">
<span style="width: 80%"><span>Docker / Kubernetes</span></span>
</div>
<div class="meter carrot">
<span style="width: 75%"><span>CI/CD Pipelines</span></span>
</div>
<div class="break"></div>
<h5>
Data & Messaging
</h5>
<div class="meter emerald">
<span style="width: 80%"><span>Kafka / Kinesis / SQS / SNS</span></span>
</div>
<div class="meter midnight">
<span style="width: 75%"><span>PostgreSQL / MongoDB</span></span>
</div>
<div class="meter sunflower">
<span style="width: 70%"><span>Redis / RabbitMQ</span></span>
</div>
<div class="break"></div>
<h5>
AI / ML
</h5>
<div class="meter emerald">
<span style="width: 85%"><span>ML Model Pipelines</span></span>
</div>
<div class="meter carrot">
<span style="width: 80%"><span>RAG / NLP / Deep Learning</span></span>
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<span style="width: 75%"><span>Agentic Systems</span></span>
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<div class="card-header"><a href="blogs/volumes_in_docker.html">Volumes In Docker</a></div>
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<div class="card-header"><a href="blogs/multistage_docker.html">Multi-stage Docker file</a></div>
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<div class="card-header"><a href="blogs/machine_learning.html">Machine Learning Based Architectures</a></div>
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<div class="card-header"><a href="blogs/bash.html">Master the Bash Shell</a></div>
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<div class="card-header"><a href="blogs/aws_ml_specialist.html">AWS ML Specialist</a></div>
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<div class="card-header"><a href="https://mcgill.academia.edu/AkashSingh">https://mcgill.academia.edu/AkashSingh</a>
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<p>Bengaluru, Karnataka, India</p>
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<p>+91 8081293880</p>
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Connect with me, I am just an email away. :)<br>
<a href="mailto:akashsingh.zcoder@gmail.com">akashsingh.zcoder@gmail.com</a>
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