Headline

Software Engineer · GenAI & Python Backend | RAG · LLMs · AWS · FastAPI

About

I build AI systems that actually work in production. Specialising in Retrieval-Augmented Generation (RAG), LLM pipelines, and Python backend engineering , I have shipped everything from semantic legal document search to event-driven AI ingestion on AWS for enterprise clients. 🔧 Stack: Python · FastAPI · LangChain · OpenAI · AWS (S3, Lambda, Bedrock) · FAISS · Docker · PostgreSQL At Wise Work, I was part of a client engagement with Trianz building AI-powered contract intelligence and document pipelines at enterprise scale. Currently back building internal AI learning platform features. Open to: AI/ML Engineering · GenAI · Backend (Python) · LLM Applications Let's connect if you're building something in the AI space🚀

Location

Bengaluru

AI stack

hugging face

langchain

langgraph

claudecode

Qdrant

Supabase

Work experience

Software Engineer at Wise Work, Jul 2024 - Present · 2 yrs 2 mos

Software Development Associate at Wise Work, Mar 2024 - Jul 2024 · 5 mos

Program Analyst Trainee at Cognizant, Dec 2023 - Feb 2024 · 2 mo, Chennai

Internship Trainee at Cognizant, Oct 2023 - Dec 2023 · 2 mo, Chennai

Software Development Associate, Career Level L1 at Hue Learn, Aug 2022 - Oct 2023 · 1 yr 3 mos, Bengaluru, Karnataka, India

Education

Bachelor of Engineering - BE, Computer Engineering, SNS College of Engineering

Public links

github: https://github.com/krishnakichu22