
Hemant Garg
Senior Software Engineer building scalable apps and data pipelines
hemantgarg
Gurugram, Haryana
Chandigarh, India
Joined February 2026
Network
2.3K connectionsSummary
Full‑stack software engineer focused on building scalable web applications and data pipelines. Public writings and repositories show hands‑on experience designing backend services (FastAPI), background processing (Celery + Redis), and integrations with storage and vector databases. medium+2
Active practitioner of retrieval and embedding techniques for LLM‑powered applications. He documents building RAG systems and experiments with embeddings, vector stores and lightweight LLM integrations in both writing and code. medium+1
Maintains an open‑source portfolio of projects and tutorials — prefers pragmatic, end‑to‑end architectures (examples: FastAPI + Celery + Redis + S3) and shares implementation details via Medium and GitHub. github+2
Background in mechanical engineering with a transition into software and data roles. Early mechanical design roles and a BE in Mechanical Engineering appear alongside later software engineering and data analyst positions, indicating a cross-disciplinary foundation. weekday+1
Publicly engages with AI/ML topics and tooling on social channels; shares technical troubleshooting and observations about embeddings, ONNX, and vector databases. nitter+1
Work
Education
Projects
Writing
Building a RAG-Powered Chatbot with Custom Embeddings and LLMs
July 1, 2025Overview and implementation guide for a Retrieval-Augmented Generation chatbot using custom embeddings, vector DB (Pinecone), and LLMs; includes architecture and code references.
Building a Video Processing Pipeline using FastAPI, Celery, and Redis
June 1, 2025Walkthrough of building a complete video processing pipeline: architecture, FastAPI endpoints, Celery workers with Redis broker, MongoDB for metadata, and S3 for storage; includes implementation notes and a linked GitHub repo.
Hobbies
Contributing to open-source projects and building side projects. github+1
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