Uday Shankar Gattu

AI Engineer at PraxisPro

Agentic Workflows (LangGraph)LLM Fine-tuning (LoRA, DPO)RAG & Vector DatabasesBackend Infrastructure (FastAPI, Docker)Adversarial TestingMachine Learning Engineering

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About

I'm Uday Shankar Gattu, an AI Engineer currently at PraxisPro where I build therapeutic-area small language models and AI agents for Life Sciences. My journey has taken me from optimizing high-volume data pipelines at TCS to being a Founding AI Engineer at Galexor AI, where I built an adversarial testing platform that secured pre-seed funding. I recently completed my MS in Computer Software Engineering at Northeastern, where I also taught Prompt Engineering and Gen AI. I’m passionate about moving AI from experimental notebooks to production-grade APIs, with a ruthless focus on latency and reliability. I love discussing agentic workflows, multi-agent orchestration, and AI security. Whether it's shipping an MVP or refining stateful architectures, I'm always looking to collaborate with fellow builders in AdTech and Life Sciences to create real-world value.

Networking

What I can offer

›Expertise in taking AI concepts from 0-to-1
›Scaling notebook prototypes to production-ready APIs
›Adversarial prompt processing and LLM security insights

Looking for

›Full-time roles in Generative AI or AI/ML Engineering
›Connections with builders in AdTech, Life Sciences, and multimodal systems

Best fit for

AI Startup FoundersLife Sciences Tech LeadersAI/ML Engineering ManagersAdTech Innovators

Current Interests

Multi-agent orchestrationAI Security and Red-teamingAI-Assisted Development (Cursor AI)Local AI and quantized modelsParallel swarm logic

Background

Career

Transitioned from Mechanical Engineering to a Python Developer, then Machine Learning Engineer at TCS, followed by a Master's at Northeastern where he served as a Graduate TA for Gen AI. Most recently, he was a Founding AI Engineer at Galexor AI before joining PraxisPro.

Education

Master of Science in Computer Software Engineering, Northeastern University (2023 – 2025); Bachelor of Technology in Mechanical Engineering, Gokaraju Rangaraju Institute of Engineering and Technology (2018 – 2022).

Achievements

›Built Galexor MVP in 3 months leading to pre-seed VC funding
›Reduced TCS infrastructure costs by 15% and query latency by 30%
›Processed 5TB/day of log data at TCS
›Published fine-tuned LLaMA models and DDPM framework on Hugging Face

Opinions

Rigid, stateful architectures are the only way to make LLMs reliable in production.
Models need professional intuition and logic rather than just more internet data.
AI is a partner for thoughtful collaboration, not just a tool for prompt-spamming.