Hi, I'm Bharat

Software and Machine Learning Engineer building cloud-native ML pipelines and product-facing applications.

MS in Computer Science (AI) from Georgia Tech with 3+ years as a product-facing SDE and 1 year as an MLE. Experienced in full-stack development, AI/ML systems and currently building Multi-Agent Workflows and RAG pipelines.

Work History

Software Engineer, AI/ML

Jun 2025 - Present

Apple (via TCS)

Building AI multi-agent workflow systems and RAG pipelines for hardware applications.

  • Automated checkpoint parsing with over 90% accuracy as a tool inside an AI multi-agent workflow system with Agno for reliability engineering
  • Reduced Docker container build time by 2x (30+ mins → 15 mins) while deploying agent backend
  • Building RAG pipeline for hardware chat app in NextJS/TS, FastAPI with CSV export to Markdown table responses
  • Achieved 2.4x speedup on database transformations from a Postgres database by switching to asyncpg

Graduate Research Assistant

May 2024 - Aug 2024

Georgia Institute of Technology

Benchmarking AI developer productivity tools across SDLC phases.

  • Improved developer productivity by 20% while benchmarking AI tools (GitHub Copilot, Codeium, Continue GPT-4o)
  • Evaluated tools across System Architecture, Feature Development, and Testing phases for Spring Boot projects

Machine Learning Engineer

Oct 2022 - Jun 2023

Mad Street Den

Developing Intelligent Document Processing pipelines and recommendation systems.

  • Improved field-level confidence score coverage by >50% using Google OCR and AWS Textract APIs
  • Deployed IDP information retrieval pipeline using Docker images in Kubernetes cluster
  • Boosted accuracies by 2-3x using data-centric approach in A/B test pipeline with AWS Redshift and ElasticSearch

Software Engineer (Product)

Jul 2019 - Sep 2022

ServiceNow

Full-stack product development focusing on performance optimization and accessibility.

  • Reduced page loading time by 6x (30 sec → 5 sec) for a leading European travel company
  • Increased dashboard adoption by 20% by migrating from Angular → React
  • Improved ETA accuracy by 20% integrating Google Maps Distance API in Java
  • Enhanced accessibility to meet WCAG 2.1 (level AA) standards
  • Won internal hackathon (12 teams) using Google DialogFlow for hands-free field agent experience

NLP Research Intern

Jan 2019 - Jun 2019

ConcertAI

Building clinical trials database search engines using NLP techniques.

  • Improved retrieval precision by 40% extracting biomarkers, stage, ECOG
  • Built Clinical Trials Database search engine

Projects

Open Source Contributions

Skills

Languages

Python (Flask, FastAPI, Pydantic/Mypy)C++SQL (Postgres)Java (SpringBoot)CypherLinuxBash/Shell

Web Dev and Data Stores

JavaScript (React)TypeScriptNextJSPostmanMongoDBFigmaAI Agents

Tools and Platforms

GitGitHub Actions (Azure)AWS (S3, EC2, Redshift)GCPDockerKubernetesJenkinsJUnit/SeleniumMCP

Education

MS in Computer Science

May 2025

Georgia Institute of Technology

AI Specialization

GPA: 4.0/4.0

B.E (Hons.) Electronics and Communication Engineering

Jul 2019

BITS Pilani, Hyderabad

GPA: 9.13/10.0

Coursework: Data Structures and Algorithms, Deep Learning, Computer Architecture

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