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I’m a Machine Learning Engineer focused on designing and deploying scalable AI systems. My work spans the full ML lifecycle from data collection and preprocessing to model development (Computer Vision, NLP) and production deployment using Python, Flask, Docker, and cloud platforms. I’ve built systems such as real-time traffic classification using live APIs, AI video summarization with transcription pipelines, and intelligent data-driven applications, with a strong emphasis on model performance, system scalability, and reliable deployment. |
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Shashwat.js
const shashwat = {
pronouns: "he" | "him",
nationality: "India",
code: ["JavaScript", "HTML", "CSS", "Python", "Java", "C", "C++"],
tools: ["React", "Node.js", "Next.js", "Firebase", "Figma"],
building: "to be revealed...",
};- Supervised Learning (Classification, Regression)
- Feature Engineering & Data Preprocessing
- Model Evaluation (Precision, Recall, F1, Confusion Matrix)
- NLP & Video-Based AI Systems
- Experimentation & Reproducibility Practices
- Python – ML pipelines, data processing, model deployment
- Java – OOP, backend systems, scalable architecture
- C++ – Performance-oriented programming fundamentals
- JavaScript – Frontend integration & API communication
- Kotlin – Android fundamentals
- Frontend: React, Next.js, HTML5, CSS3
- Backend: Node.js, REST APIs
- Authentication & Data: Firebase Auth, Firestore
- Model Serving & Inference APIs
- Dockerized Applications
- Stateless Service Architecture
- Structured Data Pipelines
- Docker
- AWS (Compute & Deployment Fundamentals)
- Google Cloud (Core Services Exposure)
- Git & Version Control
- Figma (UI/UX Prototyping)
- Developer Tooling & Terminal Workflows
- Sound Engineering – Certified
- UI/UX Design – Certified (Great Learning)
- Generative AI – Google (Great Learning, Dec 2023 · Exp. Dec 2023)
- Skills: Software Testing, Mobile Application Design, UI/UX Design, Web Design, Graphic Design
- Back-end Frameworks and APIs – LNT Group (Mar 2024 · Exp. May 2024) -Skills: ASP.NET Web API Software Design and Development – Infosys (Issued Oct 2024) Skills: OOP, Software Development, Software Design
- Stage Management – Leadership role in University-level Club (Christ University)
Building production-grade AI systems that integrate clean backend architecture with practical machine learning.
Interested in:
- ML system design & deployment
- Backend-heavy AI applications
- Scalable, real-world problem solving
Machine Learning Engineer | Scalable AI Systems
🔹 ML systems: (CV, NLP) + data pipelines
🔹 End-to-end: training → deployment
🔹 Backend & Cloud: Python, Flask, Node.js, Docker, AWS
🔹 Projects: Traffic AI, Video Summarizer, AI Assistants
Designing and deploying real-world AI systems with focus on correctness, scalability, and measurable performance.