ADAMYA SINGH
> Agentic Engineer
ABOUT ME
> I build agentic systems, ML infrastructure, and polished full-stack products.
ML Engineer Intern at Aviro, building RL environments for enterprise AI agents.
Computer Vision research at Rutgers on VLM negation failures in medical imaging.
Incoming data engineering intern at Moody's and CS/Data Science student at Rutgers.
SKILLSET
LANGUAGES
Core programming languages and scripting
AI / ML
Agentic systems, RL training, and applied ML
INFRA / BACKEND
APIs, retrieval systems, and deployment foundations
PRODUCT
Full-stack interfaces and production app delivery
PROJECTS
Built a production AI scheduling co-pilot for Rutgers students with a 22-tool Mastra agent spanning live SOC search, conflict detection, prerequisite resolution, and chat-driven UI mutations through Cedar-OS frontend tools. Embedded a Browserbase + Stagehand remote browser for credential-free Degree Navigator automation, persisting Zod-validated audit profiles to Supabase with JWT-derived ownership and RLS-hardened tables.
Built a MuJoCo + Gymnasium simulation environment for the SO-ARM-101 arm with multi-camera observations, normalized state/action interfaces, teleoperation, and shaped pick-and-place rewards. Implemented VLA policy inference with adapters for SmolVLA (450M) and Pi0 (3.3B), enabling model swapping via CLI flags. Trained policies with ReinFlow using PPO-style objectives.
Built a scalable AI-powered behavioral coach by fine-tuning Meta's LLaMA 3 8B on Atomic Habits, enabling high-quality, personalized habit formation guidance. Created a 2,300+ Q&A dataset and fine-tuned using LoRA and QLoRA, reducing memory requirements by 60%+ — making training viable on consumer hardware.
A modern, full-stack task management application built with React, TypeScript, and Spring Boot. This project demonstrates professional-grade web development practices, including type safety, optimistic UI updates, and responsive design. Features include task creation, real-time performance metrics, and error handling.
EXPERIENCE
MACHINE LEARNING ENGINEER INTERN
YC-BACKED- Built a Dockerized Enterprise Search Benchmark over PDFs, PowerPoints, and spreadsheets, backed by PostgreSQL + pgvector semantic search
- Designed an MCP-based RL environment with search/fetch/answer tools, step budgeting, citation validation, and redaction-after-view memory constraints, improving model performance by 26%
- Trained Qwen3-14B with GRPO using W&B serverless distillation and local on-policy RL with vLLM + LoRA hot-reloaded adapters
SOFTWARE ENGINEERING INTERN
DATA ENGINEERINGSOFTWARE ENGINEER
FUSEN FELLOW- Engineered an enterprise LMS end-to-end: Spring Boot + PostgreSQL services with JWT auth and REST APIs, Next.js + TypeScript frontend with role-based dashboards
- Implemented AI-driven course generation pipelines reducing content creation time by ~80% while preserving quality across enterprise training programs
- Partnered with 15+ enterprise tech orgs to validate requirements and ship production-ready specs for large-scale deployments (10K+ learners)
UNDERGRADUATE RESEARCH ASSISTANT
COMPUTER VISION- Investigating vision-language model (VLM) failures in negation comprehension using 225K+ multimodal medical images from the CheXpert dataset
- Benchmarked 3+ GenAI VLMs (CLIP, BioMedCLIP) on negation-sensitive tasks using PyTorch; developed domain-specific evaluation tools
EDUCATION
RUTGERS UNIVERSITY
B.S. in Computer Science & Data Science
COURSEWORK
LEADERSHIP & CLUBS
USACS — Tech Team Lead & Executive Board Member
STAR — Space Technology Association at Rutgers