Professional Overview
IIT Kanpur graduate and Software Development Engineer II with 3+ years of experience in Python backend engineering. Skilled in FastAPI, SQL Server, MongoDB, Azure, pytest, system design, computer vision, and GenAI/LLM pipelines, with a focus on building scalable, reliable, and production-ready systems.
Experience
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built REST APIs for assessment, practice, and reporting platforms.
- Developed OMR pipelines for automated sheet evaluation and grading.
- Built integration tests using pytest across SQL Server and MongoDB.
- Designed event-driven workflows using Azure Service Bus.
- Built multi-provider LLM orchestration across OpenAI, Anthropic, and Gemini.
Key Achievements / KPIs
- Improved OMR scan accuracy from 80% to 98%.
- Reduced LLM inference costs by approximately 40%.
- Built metrics infrastructure supporting 225K students across 450+ schools.
- Designed the pytest architecture adopted across the backend team.
AI Expertise
Skills
Employment Type
Description of Responsibilities
- Built REST APIs for assessment, practice, and reporting platforms.
- Developed OMR pipelines for automated sheet evaluation and grading.
- Built integration tests using pytest across SQL Server and MongoDB.
- Designed event-driven workflows using Azure Service Bus.
- Built multi-provider LLM orchestration across OpenAI, Anthropic, and Gemini.
Key Achievements / KPIs
- Improved OMR scan accuracy from 80% to 98%.
- Reduced LLM inference costs by approximately 40%.
- Built metrics infrastructure supporting 225K students across 450+ schools.
- Designed the pytest architecture adopted across the backend team.
Education
Field of Study: Economics
Areas of Expertise
AI & Machine Learning Engineers
Design, train, and ship production ML models — from data pipelines to model inference at scale. Covers supervised learning, neural networks, LLM integration, and model optimisation.
Automation & AI Workflows
Build intelligent automation pipelines, integrate AI APIs into existing tools, and replace manual workflows with agentic AI systems.
