AI Engineer & Team Lead @ AskTuring.ai
Specializing in Agentic Workflows · RAG Pipelines · LLM Optimization · Backend Scaling
I build reliable, production-grade AI systems with a focus on multi-step reasoning, fine-tuning, and robust distributed architectures.
LLMs & Agentic AI: Agentic Workflows, RAG Pipelines, Fine-Tuning, Transformers, Multi-step Reasoning
AI Ops & Optimization: LLM Latency/Cost Optimization, Observability, Model Evaluation
Backend & Scaling: Python (FastAPI), TypeScript (NestJS), High-throughput APIs, Distributed Systems
Databases & Vector Stores: PostgreSQL, MongoDB, Redis, Weaviate, Pinecone, Qdrant
Cloud & DevOps: AWS (SageMaker, EC2), GCP (Vertex AI), Docker, Kubernetes
- Design agentic AI systems with multi-step reasoning
- Build RAG pipelines with grounding, evaluation, and safety
- Optimize LLM performance (latency, accuracy, hallucination reduction)
- Ship production AI with observability and guardrails
- CareerKor: AI-powered career tool for generating tailored resumes and tracking applications.
- Axiom Wiki: AI-powered personal knowledge base with MCP (Model Context Protocol) support.
- MagicSpin 360°: Generates interactive 360° rotations from 2D images (Google Nano Banana Hackathon 2025 Winner).
I care about correctness, reliability, and shipping AI that actually works.




