AI Engineer ā¢ LLM Systems ā¢ Production ML
Building production-grade AI systems ā from LoRA fine-tuning LLMs to deploying real-time NLP pipelines serving live users.
Final-year B.E. AI & Data Science student (CGPA: 8.32) with production experience across the full AI engineering stack ā LoRA fine-tuning LLMs, building RAG pipelines, deploying FastAPI inference APIs, and shipping full-stack AI applications to 100+ concurrent users.
Currently building a real-time finance news sentiment system using FinBERT, targeting Indian fintech startups. Seeking an AI Engineer role to build and ship production-grade AI systems.
Real-time credibility-weighted sentiment pipeline for Indian NSE/BSE stocks. Ingests news every 3 minutes via APScheduler, scores via FinBERT, weights by source tier (Moneycontrol/ET vs unverified), and serves signals through FastAPI with in-memory TTL caching for concurrent load.
End-to-end Retrieval-Augmented Generation pipeline ā PDF ingestion, chunking, HuggingFace sentence-transformer embeddings, FAISS vector storage, and context-grounded LLM response generation. Supports multi-turn document Q&A with hallucination-reduced answers.
Two-stage ANPR pipeline: YOLOv8 for Indian license plate localization followed by fine-tuned PaddleOCR for text extraction, exported to structured CSV for downstream processing.
Classical CV pipeline in C++ with OpenCV: HSV masking ā Gaussian blur ā Otsu thresholding ā morphological closing ā contour extraction ā bounding box estimation with real-world cm calibration. Production-grade single-camera measurement system.
AI Engineer Intern
Data Analytics Intern
B.E. in Artificial Intelligence & Data Science
CGPA: 8.32Machine Learning A-Zā¢
Comprehensive ML techniques and applications.
Deep Learning Specialization
Neural networks, CNNs, and deep learning frameworks.
Python for Data Science & ML Bootcamp
Data analysis, visualization, and applied ML.
Data Analytics Virtual Internships
Data-driven insights and business optimization projects.