At Crest Infosystems, I build retrieval pipelines, agent workflows, and APIs for AI products. I also contribute to Django India and explain system design on YouTube.
I engineered citation-first retrieval, multi-knowledge-base APIs and asynchronous ingestion. Source quality, context and provenance stay connected from the first search to the final answer.
From a consultation to a clinician-reviewed draft.
Built workflows for recorded and live consultations, speaker-labelled transcripts, SOAP notes and structured medical data. Clinician review stays part of the process, supported by role-based access, audit records and retries.
Human review built into the workflow
FastAPI
React
AWS Bedrock
Transcribe Medical
Private client project
Curriculum-aware learning
BinaAI
Answers that stay connected to the course material.
Designed curriculum-aware retrieval, an embedding service and asynchronous ingestion for textbooks and video. Added streaming answers, structured quizzes and evaluation workflows for a student-facing learning platform.
I like understanding how the whole system fits together.
I’m a software engineer with 2+ years of experience building production backend and Generative AI systems. My work spans retrieval, agentic workflows, asynchronous processing and the interfaces people use to make sense of them.
I care about the parts that make a product dependable: where an answer came from, what happens when a job fails, and how a person stays in control. Python, FastAPI, Django and AWS are a big part of that work.
Outside project work, I speak at Django community events and share what I’m learning through Engineering Systems.
Led development of the DjangoDay India 2025 website, bringing the programme, speakers, sponsors and community together in a responsive event experience.
My YouTube channel explores distributed systems, APIs, load balancing and architecture patterns. It’s a place to turn technical ideas into explanations you can follow.