GENAI ENGINEER · ML SYSTEMS · BACKEND
I’m Utkarsh, an engineering student who builds end-to-end AI experiences—from agentic RAG applications and LLM fine-tuning to high-performance visual search and distributed systems.
SELECTED WORK
Production-minded work across generative AI, retrieval systems, computer vision, and backend engineering.
Agentic AI · Full-stack
An agentic RAG coding assistant that classifies intent, retrieves relevant context when needed, and generates focused responses for debugging, explaining, generating, and optimizing code.
Fine-tuning
Fine-tuned TinyLlama-1.1B with LoRA on 5,000 Q&A pairs and grounded responses using a FAISS index over 10,000 product descriptions.
Backend engineering
A distributed SQL engine using gRPC streaming, predicate pushdown, partial aggregation, and fault recovery across three parallel workers.
Storage engine
A multithreaded in-memory store with a custom RESP protocol, AOF persistence, atomic transactions, and LRU eviction.
EXPERTISE
Strong fundamentals, practical AI engineering, and the backend skills required to turn models into usable products.
Agentic workflows, retrieval pipelines, model integration, prompt design, and fine-tuning.
Authenticated APIs, data persistence, frontend integration, distributed communication, and deployment.
Training and evaluating deep-learning models, metric learning, embeddings, and similarity search.
Languages and tools used across experimentation, development, version control, and deployment.
ABOUT ME
I’m a B.Tech Electrical and Electronics Engineering student at ABV-IIITM Gwalior, graduating in 2027. I’m focused on GenAI and software engineering roles where I can own meaningful problems end to end.
My work spans agentic RAG, LLM fine-tuning, computer vision, vector search, distributed querying, and backend systems. I learn technologies by using them to build something real.
I care about the parts beyond the demo: API design, evaluation, latency, authentication, deployment, and whether a product is genuinely useful to its users.
EXPERIENCE & EDUCATION
GUIDED PROJECT · ABV-IIITM GWALIOR
Built under the guidance of Dr. Neelesh Yadav, Department of EEE. Developed and benchmarked a production-ready image-retrieval pipeline using Vision Transformers, ArcFace metric learning, and FAISS.
EDUCATION
B.Tech in Electrical and Electronics Engineering · CGPA 7.46. Coursework includes Data Structures & Algorithms, OOP, Operating Systems, DBMS, Computer Networks, Machine Learning, and Computer Vision.
BEYOND PROJECTS
Solved 200+ problems across LeetCode and GeeksforGeeks, covering graphs, dynamic programming, trees, greedy methods, and core data structures.
Secured AIR 12,000, placing in the top approximately 8% among 150,000+ candidates.
Led a three-member team through Level 1 and advanced to Level 2 of Flipkart’s national engineering challenge.
Developed and demonstrated a full-stack application using Google Cloud, Maps API, and Firebase.
Awarded the Merit-cum-Means scholarship during the first year at ABV-IIITM Gwalior for academic performance and financial merit.
LET'S BUILD SOMETHING USEFUL
I’m open to remote and on-site internship opportunities for 2026–27. If my work aligns with what your team is building, I’d love to hear from you.