About
A backend engineer who ships with intent
I care about systems that are easy to reason about: clear contracts, predictable performance, and observability that tells the truth.
AI Engineer building production LLM systems
I am an AI Engineer — currently Analyst, AI & Agent Systems at Future Standard — where I design agentic memory architectures that let AI agents retain and recall operational context across multi-step workflows, and build agent systems for operations and process intelligence. I own delivery end-to-end: agent orchestration (LangGraph/LiteLLM), backend APIs, evaluation pipelines, and production deployment.
Previously at OnFinance AI, I built ComplianceOS end-to-end (DB → backend → cloud → LLM pipelines), saving 1,500+ hours/year on BFSI compliance, with AI features contributing to $800K+ ARR and LangGraph + LiteLLM workflows processing 1B+ tokens/month. Before that, as an SDE Intern at RingCentral, I led an Angular 1.x → React migration that made load times 3x faster. My focus is production RAG, agentic workflows, and AI agents for complex domains.
- Location
- Bangalore, India
- Availability
- Available
Strengths
- Agentic AI Systems
- Agent Memory Architectures
- RAG & Retrieval Pipelines
- LLM Evals & Observability
- System Design
- Cloud Infrastructure
Toolbox
Python, Go, C++, TypeScript, SQL, Embedded C, AI Agents, LangChain, LangGraph, LiteLLM, Langfuse, RAG, Agentic Memory, LLM Evals, VectorDB, Qdrant, ChromaDB, Pydantic, PyTorch, Claude API, Bifrost, FastAPI, Motor/Beanie, RabbitMQ, JWT, OAuth, ReactJS, NextJS, TailwindCSS, AWS (EKS), Docker, Kubernetes, ArgoCD, Kustomize, GitHub Actions, MongoDB, PostgreSQL, MySQL, Redis
Education & Credentials
Certifications & publications
- NPTEL Gold — Soft Computing (Top 5%ile): Fuzzy Logic, Genetic Algorithms, ANNs (Mar 2024)
- NPTEL Gold — Data Science for Engineers (Top 1%ile): Statistics, Linear Algebra, R (Oct 2023)
- Lung Classification (IJEECS, Jan 2024): Noise filter effects on deep learning medical imaging. doi:10.11591/ijeecs.v33.i3
- Handwritten Tripsheet Analysis (IEEE Xplore, Jul 2023): EasyOCR + regex pipeline achieving 30% accuracy gain. ieeexplore.ieee.org/document/10170030
Toolbox
Tools I reach for in production
A curated core set, plus a wider toolbox depending on the problem.
- Languages
- Python, JavaScript, TypeScript, C++
- Backend & Data
- FastAPI, PostgreSQL, MongoDB
- AI & LLM
- LangGraph, LiteLLM
- Infra
- AWS, Docker, Kubernetes
- Frontend
- React, Next.js
Full toolbox
Langchain, Pydantic, PyTorch, Qdrant, MySQL, Git, Linear, Jira, JWT, OAuth, Embedded C, Assembly