Skip to content

EXPERIENCE


Intern

BioMed X Institute, Germany

Nov 2024 – Present

Developing Talk2BioModels, an advanced AI agent designed to interact seamlessly with systems biology models via natural language processing.

Leveraging LangChain and Large Language Models (LLMs) to build intelligent agents that simplify querying, simulation, and data exploration in systems biology.

Engineered agent capabilities for forward simulation and dynamic parameter tuning of mathematical models, including integration with open-source systems like BioModels.

Incorporating cutting-edge NLP techniques, prompt engineering, and knowledge graph integrations to enable AI agents to provide actionable insights from structured and unstructured biological datasets.

Building robust deployment pipelines and ensuring security, scalability, and maintainability for AI agents in production environments.

Software Engineer

Tech Mahindra, Bengaluru, India

Mar 2022 – June 2023

Automated 7+ manual processes using Perl and Python, resulting in an 18% increase in workflow efficiency.

Uploaded and optimized queries into the database, contributing to improved data retrieval times.

Maintained dashboards for 2 projects, facilitating real-time project tracking and reporting.

Coordinated with project managers to meet development timelines

Introduced automation tools that reduced manual effort by 40%, enhancing overall development productivity.

Conducted regression and performance tests for 3 system updates, ensuring 99% system stability.

Associate Software Engineer

Tech Mahindra, Bengaluru, India

Aug 2021 – Feb 2022

Collaborated with the development team to identify and resolve 10+ software bugs, improving overall system performance.

Executed 30++ test scripts, logging and resolving defects with a 95% success rate.

Successfully worked with a diverse group of coworkers to achieve project goals, resulting in a 15% increase in team efficiency.

Tech Fortune Learning · Internship

July 2019 – Aug 2019

Worked on ML project for the Credit card fraud detection