resume
Basics
| Name | Ajay Bhargava, Ph.D. |
| Label | Scientist and Technical Leader |
| 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
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2025.07 - Present Founder
With Context LLC
Founded contract engineering firm specializing in AI-powered solutions for multiple industries.
- Developed Voice AI agents that help scale out human workforces to tackle prior authorization claims for medical insurance
- Built computer vision applications to peform quantitative takeoff of construction and renovation projects.
- Built AR glasses applications for decision support for athletes playing football.
- Built a multi-modal vLLM co-pilot for physical labor that acts in student/teacher mode to learn from and then train construction workers.
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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.
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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.
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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.
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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.
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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
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London, UK
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 |