Software Engineer | Data Engineer | Machine Learning Engineer | AI Engineer
I build software, data platforms, ML systems, and AI products with a practical engineering mindset. My work spans production APIs, geospatial research, deep learning, computer vision, analytics dashboards, and cloud-ready project architecture.
- Based in Buffalo, New York, and open to relocation opportunities.
- Strongest at the intersection of backend systems, data pipelines, machine learning, and product-facing interfaces.
- Experienced with production APIs, database-backed features, reporting workflows, geospatial data science, and explainable ML.
- I care about clear problem framing, reproducible work, readable systems, and technical storytelling that does not hide behind jargon.
- RAG and vector knowledge systems: hybrid retrieval, reranking, citations, and grounded AI answers.
- AI agents and tool use: planning, tool calling, memory, validation loops, and human review boundaries.
- LLMOps, evaluation, and AI security: prompt/version control, eval harnesses, observability, latency, privacy, and prompt-injection awareness.
- MLOps and cloud AI: model lifecycle, experiment tracking, deployment, monitoring, and reliable product delivery.
| Role | Organization | Timeline | Focus |
|---|---|---|---|
| Software Engineer - Web and Data Platforms | iVinGo Solutions Pvt. Ltd. | Jun 2023 - Jul 2024 | Backend services, APIs, database-backed product features, deployment workflows, reporting pipelines |
| Research Intern - Data Science | NRSC, Indian Space Research Organisation | Feb 2023 - Sep 2023 | Satellite data processing, geospatial modeling, regression analysis, explainability, dashboards |
| Java Developer Training - Ignite Program | LTI Mindtree | Mar 2023 - Jun 2023 | Java, DBMS, MongoDB, Python, Spring Boot, TypeScript, Angular, Git workflows |
- M.S. in Computer Science and Engineering, University at Buffalo, SUNY, Aug 2024 - Dec 2025.
- B.Tech. in Computer Science and Engineering, Vellore Institute of Technology.
Graduate coursework includes algorithms, computer security, machine learning, data-intensive computing, operating systems, databases, deep learning, statistical data mining, web analytics, and computer vision.
| Project | Area | Stack |
|---|---|---|
| Atmospheric CO2 and LULC Modeling Pipeline | Geospatial ML and climate data | Python, xarray, NetCDF4, GeoPandas, SHAP, PostgreSQL, Streamlit |
| Enhanced Image Inpainting With Transformer-GAN | Computer vision and deep learning | PyTorch, Transformers, GANs, CelebA, OpenCV, LPIPS, CUDA |
| Aviation Accident Analysis | Data engineering and analytics | Python, Pandas, data cleaning, EDA, visualization |
| Spark Text Processing Word Count | Distributed data processing | Apache Spark, Python, RDDs, text processing |
| Pintos Kernel Systems Lab | Operating systems | C, Pintos OS, system calls, scheduling, synchronization, GDB |
| Machine Learning Foundations Lab | Supervised learning | Python, Pandas, Scikit-learn, classification, regression |
| Mercedes-Benz Test-Time Forecasting | Predictive analytics | Python, PCA, Scikit-learn, XGBoost, SHAP, Gradio |
| Computer Vision Pipeline Suite | Vision systems | Python, OpenCV, NumPy, SciPy, RANSAC, Scikit-learn |
| Enterprise RAG Knowledge System | AI engineering | Python, LangChain, OpenAI, vector database, FastAPI, PostgreSQL |
| Multi-Agent AI Research System | Agentic AI | Python, LangGraph, OpenAI, tool calling, vector search, FastAPI |
- NRSC / ISRO research work connecting atmospheric CO2, satellite datasets, land-use behavior, climate zones, regression modeling, and explainable analysis.
- Hackathon and innovation participation through GFG VIT-AP Hacktoberfest 2023 and Innovators Club VIT-AP.
- Certification and seminar work in Arduino programming and AI applications.
- Student leadership across Bioscope Club, Be A Nerd Club, Q-hub Club, Academic & Industrial Nano Society, TA work, class representation, and student vice-representative responsibilities.
I am always open to software engineering, data engineering, machine learning, AI engineering, research, and product-building conversations.
- Email: mtaran014@gmail.com
- LinkedIn: linkedin.com/in/taranmamidala
- GitHub: github.com/taran-dev4u
- Portfolio: taran-dev4u.github.io/taran-portfolio
- Resume: Google Drive resume