Computer Engineering student at Thapar Institute of Engineering & Technology interested in machine learning, backend engineering, and production AI systems.

I enjoy building end-to-end software that combines machine learning, databases, APIs, and modern AI tooling. Recently I've been working on NLP, time-series forecasting, MLOps, database automation, and open-source software.

• Building production AI applications
• Exploring agentic AI and Model Context Protocol (MCP)
• Contributing to open source
• Learning distributed AI systems and MLOps

An NLP platform that analyzes Hacker News discussions to identify emerging technology trends.

• Clustered 2,000+ Hacker News posts into 85 semantic topics using Sentence Transformers, UMAP, and HDBSCAN.
• Built forecasting pipelines using Linear Regression, XGBoost, and LSTM with MLflow experiment tracking.
• Generated natural-language trend summaries using Gemini.

Stack: Python, PyTorch, Sentence Transformers, HDBSCAN, UMAP, MLflow, Streamlit

Machine learning platform for EV battery degradation prediction and Remaining Useful Life estimation.

• Processed 10,000+ battery cycles.
• Engineered 50+ features.
• Achieved R² = 0.91 with a 32% reduction in prediction error over baseline models.
• Deployed using FastAPI and Docker.

Stack: Python, PyTorch, Scikit-learn, FastAPI, Docker

Built during my internship at DCM Infotech.

• Automated database backup verification.
• Developed trigger-based auditing using PostgreSQL and PL/pgSQL.
• Implemented SHA-256 integrity verification and restore validation.

Stack: PostgreSQL, PL/pgSQL, Python, Docker

I enjoy contributing to open-source software and learning from production codebases.

Recent contributions include Codebase MCP, where I worked on improving indexing reliability and developer experience through merged pull requests.

Languages

Python • C/C++ • JavaScript • TypeScript • SQL

Machine Learning

PyTorch • Scikit-learn • XGBoost • LSTM • Sentence Transformers • HDBSCAN • UMAP • MLflow

AI Engineering

Gemini API • Prompt Engineering • Model Context Protocol (MCP)

Backend

FastAPI • REST APIs • Next.js • Streamlit

Databases

PostgreSQL • Oracle Database • PL/pgSQL

DevOps

Docker • Git • GitHub • Hugging Face Spaces • Firebase • Vercel

• Winner — International AI for Sustainability Hackathon 2026 (1st place among 200+ teams)
• Winner — TIET Business Hackathon 2024

• LinkedIn: https://linkedin.com/in/sahil-manglaa
• GitHub: https://github.com/sahil-mangla
• Email: sahilmangla.official@gmail.com