📍 Coimbatore, TN | 📧 sanjai1382003@gmail.com 🔗 LinkedIn
I am a Computer Science graduate currently pursuing an M.E. in AI & ML.I specialize in architecting production-grade RAG pipelines and bridging the gap between raw data and actionable intelligence.My background includes transitioning physical systems to 100% digital adoption and building scalable AI solutions with a focus on high-velocity performance and factual accuracy.
- Languages & Web: Python (Pandas, NumPy, Matplotlib, Seaborn), SQL, TypeScript, MERN Stack, FastAPI.
- AI & Machine Learning: NLP (RAG), Deep Learning (LSTM, CNN, YOLOv8), Transformers, HuggingFace, XGBoost, Random Forest.
- Vector Space & Retrieval: FAISS, LangChain, Gemini LLM.
- Cloud & Tools: AWS Fundamentals, Docker, Git, Streamlit, MLflow, MySQL Workbench.
- Developed a high-velocity RAG pipeline using Gemini 3 Flash and FAISS for automated customer support.
- Achieved sub-1.2s response latency, 92% intent recall, and 100% factual accuracy.
- Eliminated LLM hallucinations through strict context grounding and semantic retrieval logic.
- Architected an end-to-end computer vision system using YOLOv8 across 25 object categories.
- Achieved 75%
$mAP@0.5$ and >80% accuracy. - Deployed via Hugging Face Spaces with a Streamlit interface for real-time inference.
- Modeled tactical safety hotspots by processing 200k+ geospatial records using DBSCAN and K-Means clustering.
- Visualized high-risk zones through an interactive Python dashboard for data-driven city planning.
- Engineered a multi-class NLP classifier using LSTM and XGBoost to prioritize 50k+ complaints.
- Achieved an 88% F1-score in automated severity detection.
Developer Intern | ELGI Equipments Ltd
- Architected a digital documentation system resulting in 100% digital adoption and reducing record retrieval time by 40%.
- Migrated 5,000+ legacy records with zero data loss using automated validation scripts.
- Improved overall workflow efficiency by 25% through backend data mapping optimization.
- M.E. Computer Science and Engineering (AI & ML Specialization) | Jansons Institute of Technology
- B.E. Computer Science and Engineering (Grade: 8.49)
- Data Science — Guvi & IITM Parvartak Certified
- AWS Cloud Fundamentals (AWS Re/start Graduate)
- Python for Data Science — IBM Certified
⭐ Open to full-time roles and internships in AI Engineering, Data Science, and Software Development.