AI / GenAI Engineer
Retrieve first,
answer second.
Final-year CS undergraduate who builds LLM agents, retrieval pipelines, and computer-vision systems meant to hold up in production — from enterprise copilots to a weapon-detection model running at 99% accuracy.
ask-about-ashish.rag
self-rag · grounded
This box works the same way my projects do: it retrieves relevant context first, then generates an answer grounded in it. Try a question above.
selected systems
What I've shipped
Three systems spanning agentic retrieval, multimodal search, and real-time vision — each built to run, not just to demo.
Multi-tool · Async
- LangGraph agent orchestrating MCP tools for ticketing, employee lookup, and policy retrieval.
- Self-RAG/CRAG verification loop grounds answers in retrieved context to cut hallucinations.
- Async multi-tool backend (FastMCP + PostgreSQL/pgvector) for concurrent enterprise workflows.
LangGraphMCPSelf-RAGPostgreSQLFastAPILangSmith
Vision + Language
- Vision-language models paired with semantic retrieval for natural-language product search.
- Automated image-to-text pipeline generates searchable metadata, removing manual cataloging.
- FAISS-backed vector index for fast, relevant retrieval over product embeddings.
LangChainFAISSVLMsStreamlit
99% accuracy
- YOLOv8 tuned via targeted augmentation and hyperparameter search on custom CCTV footage.
- 99% weapon-detection accuracy; a fine-tuned RS3D spatiotemporal model adds 98% violence detection.
- Full pipeline: frame preprocessing → inference → alerting, built for real surveillance feeds.
YOLOv8OpenCVPyTorchRS3DFFmpeg
experience
Where I've worked
Apr 2026 — Jun 2026
Remote
Remote
Machine Learning Intern — Team Lead
Intakeoff
- Trained and optimized real-time computer-vision workflows using OpenCV and YOLOv8 for object detection and image classification on custom datasets.
- Engineered an end-to-end inference architecture — preprocessing, inference, and post-processing — for production deployment.
stack
Tools I reach for
AI & LLM systems
LangChainLangGraphLangSmithLlamaIndexMCPSelf-RAG / CRAGAgentic AIPrompt Engineering
Computer vision
YOLOv8OpenCVPaddleOCRFFmpeg
Machine learning
PyTorchScikit-learnXGBoostPandasNumPy
Deployment & languages
PythonC / C++JavaScriptSQL / PostgreSQLFastAPIFlaskStreamlitGit
education
Background
ABVGIET Shimla, Himachal Pradesh
B.Tech, Computer Science · Jun 2023 – Present
GPA 7.97
Snower Valley Public School, Kullu
Senior Secondary Education · Mar 2021 – Mar 2023
94%