Jun 2025 – Aug 2025 · 2 mos · Seattle, Washington, United States

• Extended a CI/CD pipeline to detect internationalization errors in UI message files.
• Achieved reduction in processing time from 41 hours to seconds using oss LLMs.

Jan 2025 – Jun 2025 · 5 mos · Danvers, MA

• Developed a LLM document parser to generate training datasets from medical notes.
• Implemented a Physics Inspired Network to predict Right Heart Failure, achieving a ROC AUC of 0.7.

Dec 2023 – Jul 2024 · 7 mos · Bengaluru, Karnataka, India · On-site

• 1. Built long term memory feature for AI companion bot.
• 2. Created the fine tuning engine comprising Synthetic data generation pipeline , LLM finetuning module and deployment service.

Aug 2023 – Apr 2024 · 8 mos · Bengaluru, Karnataka, India

• Tried to build on following ideas , responsible for tech and product
• 1. Learnmigo (Cofounder , Full Time) - AI tools to reduce variability of education quality in India.
• 2. Synergizer Ai (Tech Lead, Part Time) - AI copilot for business development teams.

Aug 2022 – Sep 2023 · 1 yr 1 mo · Bengaluru, Karnataka, India

May 2022 – Aug 2022 · 3 mos · Bengaluru, Karnataka, India

• 1. Developed a deep learning-based API to provide real-time cues to sales agents during a sales pitch.
• 2. With HuggingFace libraries, a zero-shot learning model was built and deployed using FastAPI

Feb 2022 – Apr 2022 · 2 mos · Bengaluru, Karnataka, India

• 1. Devised a faster-unsupervised architecture for segmentation of trees and grass in satellite images, speedup by 200%•
• 2. Performed research for getting a better and computationally efficient co-registration model for satellite images and experimented with several DL-based models on AWS SageMaker•
• 3. Deployed a DL model for extracting road networks from satellite images and integrated it with MLflow.

May 2021 – Jun 2021 · 1 mo

• 1. Built a Django-based web dashboard with content driven by ML models to help clientele gain insights for increasing their health plan’s NCQA rating with the minimum cost.
• 2. Automated various workflows reducing time consumption by 80%.
• 3. Worked on an NLP project to translate guidelines from a HEDIS document to the equivalent Python code.

Feb 2021 – Mar 2021 · 1 mo

• 1. Devised the cloud architecture from scratch to run the data collection process on AWS reducing the workload from four touch-points to one
• 2. Wrote web scrapers for multiple websites and integrated them on Airflow for data collection.