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Vetted Research Assistants in the NYC Metro
Pre-screened and vetted in the NYC Metro.
Varad Vijay Suryavanshi
Intern/Junior Machine Learning Engineer specializing in LLMs, RAG, and vision-language systems
Raman Kumar Jha
Junior Robotics & Computer Vision Researcher specializing in perception and reinforcement learning
Abijith Vijayendra
Senior AI/ML Systems Architect specializing in cloud-native MLOps and GenAI
Mihir Lovekar
Mid-Level Full-Stack Software Engineer specializing in cloud-deployed LLM applications
Hyun Eric Kang
Intern Software Engineer specializing in AI, data pipelines, and full-stack development
Michael Reynolds
Principal/Lead Data Engineer specializing in large-scale pipelines, NLP, and graph databases
Naga Karumuri
Mid-Level Full-Stack Engineer specializing in AI and 3D computer vision
“Built and productionized an LLM-driven document verification workflow for a construction firm’s submittals process, moving from a Vercel/Next.js prototype to a FastAPI + LangChain/LangGraph backend with background workers and multi-server deployment. Uses LLM tools (e.g., OpenAI Codex/Cloud Code) for rapid development and log-driven root cause analysis, and partners with customer teams on evaluation metrics and iterative improvements.”
Divyansh Agarwal
Junior Machine Learning Engineer specializing in computer vision and LLM applications
“Built and led an autonomous driving software effort for Formula Student, owning the full autonomy stack (perception, planning, control) orchestrated in ROS. Implemented stereo depth + YOLO object detection, RRT/RRT* planning, and a robust SLAM pipeline (Kalman filter, submapping) while leveraging Gazebo simulation and modern deployment tooling (Docker/Kubernetes, AWS, GitHub Actions CI/CD).”
Ankit Patra
Mid-Level Software Engineer specializing in cloud, microservices, and AI/ML
“Backend/API engineer with ~4 years experience building production services in .NET Core/PostgreSQL/Redis/Docker and optimizing real-world latency issues (claims ~60% response-time improvement). Also built and owned an end-to-end RAG-based AI assistant using Python/FastAPI, OpenAI APIs, and Pinecone, plus agentic workflows with reliability guardrails (retries, confidence thresholds, monitoring). Currently pursuing a master’s degree and targeting a $150k base salary.”
Tara Page
Director of Business Systems & Operations specializing in scaling leadership and governance
Shagun Majotra
Entry-level Robotics & Mechatronics Engineer specializing in AI-driven automation and computer vision
Alison Wilson
Executive Chief of Staff & Investor Relations leader specializing in VC and technology ventures
Gopi Bhoyar
Mid-level Software Engineer specializing in FinTech data platforms and full-stack analytics
Manideep Pendyala
Junior Full-Stack AI Engineer specializing in Agentic AI and RAG systems
Mamoon Khalid
Executive Applied AI & Venture Builder specializing in Enterprise SaaS and Healthcare
Jitesh Chavan
Mid-level Machine Learning Engineer specializing in Generative AI and foundation models
Prakhar Mittal
Mid-level Design Engineer / Product Designer specializing in developer-facing SaaS UX
Kato Josiah
Junior Industrial-Organizational Psychology professional specializing in people analytics and research
Koushik Alapati
Mid-level Robotics Software Engineer specializing in perception, localization, and autonomous navigation
“Robotics software engineer with hands-on ROS2 experience building perception-driven navigation for AMRs, integrating YOLO11 + Depth Anything V2 and multi-sensor fusion (LiDAR/RGB-D/IMU) to boost pose accuracy by 30%. Strong in real-time debugging and edge deployment on NVIDIA Jetson (ONNX/CUDA), plus cloud-enabled telemetry (Azure) and simulation-driven testing (Isaac Sim) that cut physical test cycles by 25%.”
Siva Sathwik Kommi
Junior Software Engineer specializing in LLM systems and RAG
Harsh Gautam
Mid-level Software Engineer specializing in distributed systems and ML infrastructure