resume

Basics

Name Ajay Bhargava, Ph.D.
Label Scientist and Technical Leader
Email bhargava.ajay@gmail.com
Phone +1-908-636-4149
Summary I am a strong communicator and customer empathist who loves solving business problems and identifying insights with data. I use the scientific method to drive business value. I have a strong background in biology, physics, statistics, and software engineering and have worked in multiple industries and domains. I am passionate about using AI to solve real-world problems and have a proven track record of delivering high-impact projects.

Work

  • 2024.10 - 2025.06
    Co-Founder & CTO
    Bynd.Bio
    Started a company to totally change how remote lab experiments are executed using REST APIs.
    • Created smart AI tools to organize lab work, including pricing and protocols, into easy-to-use data models.
    • Built a full app using Next.JS, Typescript, MongoDB, and OpenAI.
    • Got customers, secured funding over $1M, and grew the team to 3 people.
  • 2022.10 - 2024.04
    Senior Data Architect
    TetraScience
    Led enterprise technical solutions and AI agent platform development for large pharma clients.
    • Led $1M+ TCV engagement with Takeda Pharmaceuticals.
    • Built internal GenAI agent platform using AWS Bedrock and Terraform.
    • Guided ElasticSearch integration for scientific data querying.
    • Communicated across technical and executive stakeholders with live demos and whiteboards.
  • 2021.10 - 2022.10
    Senior Data Scientist
    Actuate AI
    Designed real-time object detection systems at scale across security networks worldwide.
    • Built slip-and-fall YOLO model deployed in SL Green properties.
    • Developed OCR for Army Futures Command situational readiness.
    • Quantized YOLO models with AWS Neuron SDK for 3x speedup.
    • Built interpretability tools (LRP, CAM) for model debugging.
  • 2020.10 - 2021.10
    Associate Scientist - Imaging Machine Learning
    Regeneron Pharmaceuticals
    Delivered ML and image analysis as part of Regeneron's core scientific computing facility.
    • Analyzed lysosome localization, myofiber CSA using U-Net.
    • Built ML tools for NASH/NAFLD patient stratification.
    • Created image registration toolkit for histopathology and micro-CT.
  • 2020.03 - 2020.10
    AI/ML Researcher
    GlaxoSmithKline (GSK)
    Developed GAN pipeline for virtual staining of pathology slides.
    • Built GAN + subpixel alignment model for in-silico H&E staining.

Education

  • London, UK

    PhD
    King's College London at the Francis Crick Institute
    Computational Biology

Projects

  • 2025.03 - 2025.03
    Soundmoji
    Built a mobile app that allows users to create and share music based on emojis.
    • Won first place in a competitive hackathon.
    • Built the entire full-stack in one afternoon using NextJS, Supabase, Fal AI, and OpenAI agents.
  • 2024.04 - 2024.10
    Fulcra Dynamics | Sleep Insights
    Built a personalized multi-modal health analytics tool that studied six months of sleep and glucose data. Produced individual insight that resulted in one extra hour of sleep per night.
    • Was featured on company blog and podcase.
    • Built a multi-modal health analytics tool that studied six months of sleep and glucose data.
  • 2024.10 - 2025.06
    Bynd.Bio
    Built a suite of AI agents to automatically parse, schematize and structure lab execution manifests and protocols, pricing matricies, and statements of work into a single structured data model that was used to better articulate CRO's value proposition during the sales cycle.
    • Wrote the entire full-stack application in Next.JS, Typescript, MongoDB, and OpenAI.
    • Landed Customers, landed term-sheets at >$1M valuation, and led the engineering and product team of 3 staff.
  • 2023.07 - 2023.07
    Hugging Face Hackathon
    Built Streamlit RAG app for toxicology paper retrieval using Pinecone hybrid search.
    • Used PyMuPDF, Pinecone, RAG architecture.
  • 2023.01 - 2023.01
    Template Repositories
    Automated FastAPI deployment to AWS using Docker, ECR, and Serverless Framework.
    • Used GitHub Actions, Lambda, API Gateway.

Skills

Backend & DevOps
FastAPI
CI/CD
Docker
Terraform
AWS
Serverless
Data Science & ML
Pytorch
OCR
Image Analysis
MLOps
Generative AI
Data Platforms
ElasticSearch
Qdrant
Pinecone
LlamaIndex
Programming
Python
R
SQL
Cloud
AWS Bedrock
Sagemaker
GCP
Cloudwatch
AI
OpenAI
Fal AI
LlamaIndex
Pinecone
Qdrant
ElasticSearch
Tools
VSCode
Cursor
Git
GitHub
Docker
Serverless Framework
Full-Stack
NextJS
Typescript
React
TailwindCSS
Supabase
Convex
MongoDB
Redis