Incoming Data Analyst (AI/ML) · Onsemi

June 2025 - Present

Refactored a Rust-based data processing pipeline, improving performance and maintainability.
Analyzed non-compliant test name patterns using data masking and pin pattern matching, developed new guidelines to improve consistency and compliance across test data pipelines.
Built a full-stack web application with a React frontend, FastAPI middleware, and Python backend to parse and visualize 1.5 GB STDF files in under 10 minutes, enabling efficient large-scale semiconductor test data analysis.

Software Engineering Intern (AI/ML) · SIBI LLC

September 2024 - June 2025

Created a dataset of 100+ Text-to-SQL queries to enhance model evaluation, leading to improvement in model accuracy
Designed and implemented an evaluation framework for an internal LLM assistant, incorporating new metrics from EvalKit, improving performance and reliance
Integrated Claude API for Text2SQL evaluation, automating query assessments and enhancing model performance analysis
Reduced token usage by 70% by implementing PromptAgent optimization to address high token costs
Increased system efficiency by automating SQL performance evaluations on Redshift, minimizing debugging time
Developed Agentic workflows to build a research agent and LLM-based decision-making for appliance recommendations
Implemented a dynamic-prompting system for efficient data answering using LLM, improving evaluations by 20%
Optimized data retrieval by enhancing Apollo GraphQL schema to fetch comprehensive runtime data, reducing multi-page navigation and improving user workflow efficiency
Assisted in migrating internal AI assistant's data layer from AWS Redshift to Motherduck DuckDB

June 2024 - August 2024

Engineered and optimized data extraction pipelines using YouTube API to process audio, gathering about 70+ hours of content
Designed, implemented, and maintained MongoDB database to efficiently store and manage extensive audio data sets
Utilized YouTube data to fine-tune LLM to improve the accuracy and effectiveness of interview assessment tools
Implemented speaker Darization techniques for structuring data and enhancing LLM fine-tuning for interview assessments

August 2023 - Present

Migrated web app from NPM to PNPM, cutting build times and boosting reliability with efficient dependency linking
Achieved 80% reduction in research time by utilizing Prompt Engineering
Enhanced content management systems by fixing bugs and integrating transcript functionality into the dashboard
Leading integration of AI into the writing process for enhanced efficiency
Orchestrated custom prompt engineering solutions, resulting in a 50% reduction in process cycle time
Conducted research, literature reviews, data analysis, and fact-checking for 65+ scientific documents
Implemented version control, conducted unit testing, and resolved platform bugs in TypeScript
Led collaboration with Luminosity Labs for platform development, streamlining operations
Employed caching techniques, resulting in a 70% decrease in rendering delay

Jan 2023 - June 2023

Led a team of 3 to develop a real-time vehicle detection system for visually impaired individuals, achieving 65.4% average precision
Achieved an 86.5% reduction in resource usage by filter pruning algorithm
Computed CNN models on 16,000 image datasets for vehicle detection
Enhanced real-time safety detection in YOLO by implementing Safety Detection Algorithm, achieving a 25 fps detection rate
Applied precision-focused strategies and fine-tuned the model using Indian traffic data
Collaborated with engineers to streamline training processes and document methodologies

May 2022 - July 2022

Developed an Android app to plot real-time values from a prototype ventilator with live Data Visualization
Integrated Firebase for real-time data storage and authentication
Implemented communication protocols to embedded C components in the prototype for data exchange within a 5ms lag.