Vetted Research Assistants in the NYC Metro

Pre-screened and vetted in the NYC Metro.

Dhanush Manem - Mid-level Full-Stack Software Engineer specializing in cloud-native microservices in New York, USA

Mid-level Full-Stack Software Engineer specializing in cloud-native microservices

New York, USA4y exp
Stony Brook UniversityStony Brook University
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RC

Senior Engineering Manager specializing in AWS cloud-native distributed systems

New York, NY11y exp
Ippon TechnologiesMIT
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HL

Junior XR/Unity Developer specializing in AR/VR/MR and interactive 3D systems

Hoboken, NJ1y exp
Stevens Institute of TechnologyStevens Institute of Technology
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Priyank Jhaveri - Junior AI/ML & Mobile Engineer specializing in LLMs, synthetic data, and React Native in New York, United States

Priyank Jhaveri

Screened ReferencesModerate rec.

Junior AI/ML & Mobile Engineer specializing in LLMs, synthetic data, and React Native

New York, United States1y exp
Uplifty AIDrexel University

Currently at Uplift AI shipping production LLM features that generate personalized growth insights from user reflections using BERT + embeddings + RAG, with strong safety/guardrail practices for sensitive contexts. Also built an end-to-end React Native UGC challenge submission/moderation system that improved repeat submissions and 7-day retention, and has applied rigorous clinical-style evaluation methods on a dental X-ray disease detection project to reduce false negatives.

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LM

Mid-level Software Engineer specializing in integrations and automation

New York, NY4y exp
PXUnion College

Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.

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VC

Mid-level AI Engineer specializing in Generative AI, LLM fine-tuning, and RAG systems

Edison, NJ4y exp
EliteUS Software SolutionsRutgers University

Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.

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DS

Mid-level Software Engineer specializing in distributed systems

New York, USA4y exp
PACE Lab Stony Brook UniversityStony Brook University
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GG

Intern Software Engineer specializing in distributed systems and backend infrastructure

Remote, NY2y exp
LuMATHStony Brook University
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VP

Vishesh Patel

Screened

Junior AI/ML Engineer specializing in Python ML, NLP, and model deployment

Piscataway, New Jersey3y exp
Fairfield UniversityFairfield University

Built and productionized a real-time social-media sentiment analysis system used by a marketing team to monitor brand/campaign performance. Experienced in orchestrating LLM workflows with LangChain (validation → prompting → parsing → post-processing), plus monitoring, retraining, and RAG-style retrieval using embeddings/vector stores to keep outputs reliable over time.

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AS

Mid-level Software Engineer specializing in cloud microservices and ML systems

Newark, NJ2y exp
New Jersey Institute of TechnologyNJIT
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MA

Mid-level GenAI Engineer specializing in AI agents and FinTech platforms

New York City, NY5y exp
Quiet Mountain ConsultingAir University
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YT

Yasmin Taba

Screened

Junior Player Support & Operations Specialist focused on athlete wellbeing

Brooklyn, NY4y exp
St. Francis CollegeSt. Francis College

Psychology- and care-management-trained candidate pivoting into hockey player representation/advising, with hands-on experience supporting people through high-pressure transitions (relocation, schedule changes, performance stress). Builds trust-based relationships through consistent communication and creates educational content (website/LinkedIn) focused on athlete wellbeing and navigating Prep/AAA/NCAA/pro pathways.

Problem-solvingMicrosoft OfficeGoogle WorkspaceCanvaPlayer welfare supportTrauma-informed foundations+45
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