.png){kind=logo}
Vetted Machine Learning Engineers in New York
Pre-screened and vetted in New York.
Niteesh Singh
Mid-level AI/ML Engineer specializing in LLM training, RAG, and low-latency inference
Krishna Reddy
Mid-level AI/ML Engineer specializing in fraud detection and clinical LLM assistants
“Built and deployed a production clinical support LLM assistant at Mayo Clinic using a LangChain-orchestrated RAG architecture (Llama 2/PaLM) over de-identified clinical records, integrating BigQuery with Pinecone for semantic retrieval. Focused on healthcare-critical reliability by reducing hallucinations through grounding, implementing HIPAA-aligned privacy controls (Cloud DLP, VPC Service Controls), and running structured evaluations with clinician feedback.”
Indu Reddy
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and real-time recommendation systems
Abhinav Bachu
Mid-level AI/ML Engineer specializing in cloud MLOps and GenAI for fraud detection
Srilekha Jajala
Senior AI/ML Engineer specializing in Financial Services and Security
Harun Bansode
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Vivek Kothapalli
Mid-level AI/ML Engineer specializing in quantitative finance and LLM-based NLP
Harshitha Kesani
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and quantitative trading
Govinda Rai
Mid-level AI/ML Engineer specializing in financial services and generative AI
Neha mayekar
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and NLP
Nandini Matta
Mid-level AI/ML Engineer specializing in forecasting, anomaly detection, and enterprise ML pipelines
abhay barage
Mid-level Machine Learning & Biostatistics professional specializing in healthcare AI
Soumya Gade
Mid-level AI Engineer specializing in LLM agents and RAG systems
Swarat Sarkar
Mid-level ML Engineer specializing in computer vision and robotics
Vamshi Konapuram
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Yusuf Baig
Mid-level Machine Learning Engineer specializing in LLMs, multimodal AI, and backend systems
silin liu
Mid-level AI/ML Engineer specializing in LLM agents, RAG, and enterprise ML systems
“Built a production multi-agent recommendation/RAG system for internal data analysts to speed up weekly report creation by improving document discovery and automating report/SQL generation. Implemented LangGraph-based orchestration with deterministic agent routing, robust error handling (interrupt/resume), and metadata-driven semantic chunking for diverse PDF/document formats, plus monitoring for latency, throughput, and token/cost efficiency.”
Piyush Modi
Intern Software Engineer specializing in backend systems, cloud infrastructure, and ML/LLM tooling
“Infrastructure-leaning engineer who has built real-time ML systems end-to-end: a Jetson-deployed adaptive Whisper ASR service (Flask + WebSockets, React/TS UI) and a high-throughput Postgres schema for live transcription. Also delivered customer-facing AI billing/OCR improvements for a dental startup (Dentite), boosting OCR performance by 38%, and has experience instrumenting open-source ML deployment stacks to add infrastructure visibility.”
Saiteja Miyapuram
Mid-level AI/ML Engineer specializing in computer vision, NLP, forecasting, and GenAI
Niharika Amilineni
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and financial risk analytics
Rahul Pudurkar
Mid-level Full-Stack Software Engineer specializing in AI/ML and GenAI platforms