- π B.Tech in Artificial Intelligence & Data Science at GGSIPU, New Delhi (2022-2026)
- π» Passionate about building end-to-end, scalable, and interpretable AI applications.
- π Previously interned at Reliance Jio, developing semantic retrieval cores (RAG) with
FAISS&LangChain. - π§ My core focus is on MLOps, optimized data workflows, and containerized deployment (
Docker,AWS). - π¨ Reach me at: siddhantsharma4520@gmail.com
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| Databases |
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| Concepts | RAG β’ Microservices β’ ETL Pipelines β’ MLOps β’ Statistical Modeling β’ Prompt Engineering β’ Cloud Deployment |
| Project | Description | Tech Stack |
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| π Weak Signal Analysis & Tech Trend Forecasting | Data engineering & quantitative modeling on 13 years of arXiv data to compute keyword metrics (DoV, DoD) & identify emerging tech trends. | |
| π€ AI Consciousness Research Assistant | Domain-specific RAG assistant using FAISS, LangChain, & FastAPI (Dockerized) for semantic search on academic papers. |
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| π¬ Multi-Model Movie Recommendation Engine | Hybrid system (PySpark ALS + SBERT/TF-IDF) with FAISS VectorDB, served via FastAPI & deployed on AWS EC2. |
