Vetted Research Assistants in the NYC Metro

Priyank Jhaveri

Screened ReferencesModerate rec.

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

New York, United States1y exp

“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.”

“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.”

“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.”

“Built an AI GTM Copilot that consolidated 5+ sales tools into a single browser-based workflow for sales teams, combining LLMs, data enrichment, and outreach automation. Brings a rare blend of ML, backend, and front-end experience, with concrete wins in performance optimization, workflow design, and measurable UX improvements.”

“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.”

“Full-stack and AI product engineer who built and deployed two end-to-end projects: TrekTale, a travel story management app, and PromptCraft Finance, an AI-powered financial assistant using multiple open-source LLMs. Particularly strong in turning ambiguous product ideas into modular, production-oriented systems with typed frontend/backend contracts, multi-model inference pipelines, structured outputs, and monitoring for latency, reliability, and regressions.”

“Research-background candidate who built and maintained a browser-based lab website showcasing publications, projects, and member profiles. They have hands-on experience migrating from local JSON/image storage to a Supabase-backed architecture, with a strong focus on frontend performance, caching, and monitoring using Chrome DevTools and Vercel.”

“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.”