Vetted Data Science Professionals

Sreevalli Santhavel

Screened

Director-level AI Product Manager specializing in GenAI, LLMs, and SaaS platforms

Texas, USA12y exp

“Technical Product/Program Manager with architect-level involvement who leads customer-facing product builds from sales discovery and Figma design through engineering estimation, schema decisions, and cloud deployment. Has shipped integrated ecommerce and auction products, including vehicle inventory workflows tied to Salesforce, Stripe, and QuickBooks, and has applied AI/ML to warehouse QA, defect detection, and pricing recommendations.”

“Full-stack product builder with hands-on experience improving onboarding and reducing churn through guided tours, instrumentation, and A/B-tested feedback loops. They’ve also prototyped AI systems including a text-to-SQL RAG-based multi-agent workflow and built a real-time multiplayer React/TypeScript app on Supabase, while showing strong instincts around evaluation, UX, and production trade-offs.”

Isha Harne

Screened

Intern Software Engineer specializing in ML applications and LLM platform engineering

New York, NY1y exp

“Full-stack engineer who builds and scales customer-facing and internal AI products end-to-end (React/TypeScript/FastAPI/MongoDB) with strong product instrumentation and rapid MVP iteration. Built an AI-powered code review assistant adopted across teams and integrated into CI/CD, reducing manual review time by 30%+, and has hands-on experience with LLM retrieval/reasoning systems (LangChain + FAISS) and microservices scaling using RabbitMQ, Docker, and AWS.”

“Product leader who progressed from Director to VP while building a 0-to-1, award-winning B2B eCommerce platform on MACH architecture. Brings unusually hands-on AI product depth, including vectorized/document-based data foundations, RAG-powered commerce use cases, and a customizable GPT-based shopping assistant, while emphasizing human-supervised AI and customer-driven roadmap decisions.”

“AI Engineer at Humanitarian AI who has built and productionized both a LangGraph-based multi-agent workflow system and a RAG pipeline (OpenAI embeddings + vector DB) with rigorous evaluation/guardrails. Reports strong measurable impact (60% faster workflow delivery, 40% fewer incidents, 70% reduced research time) and has prior enterprise modernization experience at Infosys migrating ETL to microservices with zero production incidents.”

“Built a production "Mini RAG Assistant" for internal document Q&A, focusing on grounded answers (anti-hallucination), retrieval quality, and latency/cost optimization. Uses LangChain/LangGraph for orchestration and applies a metrics-driven evaluation loop (including reranking and semantic chunking improvements) while collaborating closely with product stakeholders.”

Anupam Sistla

Screened

Intern Software Engineer specializing in full-stack development, cloud, and automation

2y exp

“Robotics software engineer who built an autonomous debris-clearing rover software stack end-to-end using ROS 2, Python/OpenCV, and YOLOv3, with strong emphasis on real-time reliability (latency instrumentation, stale-data handling, watchdog fail-safes). Also implemented a Docker CI/CD deployment system for remote Raspberry Pi timelapse devices, distributing updates via AWS S3 to handle intermittent connectivity.”

keerthana bhukya

Screened

Junior Software Engineer specializing in AI/ML and cybersecurity

Stockton, CA2y exp

“Salesforce-focused engineer with hands-on depth across Sales Cloud, Service Cloud, Apex, LWC, and Aura. Stands out for owning end-to-end automation features, making thoughtful async architecture decisions to balance performance and reliability, and designing responsive Lightning interfaces that hold up under large data volumes.”

Ganapathi Deivanayagam

Screened

Intern Full-Stack Developer specializing in web applications and data pipelines

Milledgeville, GA0y exp

“New-grad full-stack developer with strong self-directed project work spanning collaborative web apps, AI-assisted CRM features, and LLM-supported thesis development. Particularly notable for combining modern web tooling, real-time collaboration, and pragmatic AI usage while also showing initiative in ambiguous research environments by automating manual ETL work with Python and OCR.”

“Full-stack engineer at an early-stage startup (AirKitchenz) who owned the hourly booking/availability and first paid booking flow end-to-end—React/TypeScript frontend, Node backend, Postgres modeling, and Stripe payments/webhooks. Experienced operating production on AWS (EC2/Elastic Beanstalk, Docker, RDS, CloudWatch) and building reliable, idempotent integrations while iterating quickly in a pre-PMF environment through direct host/renter feedback.”

“ML/computer-vision practitioner who shipped a CycleGAN-based bilingual handwriting translation demo (English↔Telugu) for low-resource scripts using unpaired datasets, focusing on preserving handwriting style and real-time deployment via Gradio. Also delivered a medical imaging pipeline by fine-tuning ResNet-50 and ViT-B/16 for pneumonia detection, emphasizing reproducibility, measurable evaluation, and stakeholder-friendly iteration.”

Jai Vilatkar

Screened

Junior AI/ML Developer specializing in GenAI, LLM agents, and RAG systems

Pune, India2y exp

“Built and shipped an agentic RAG chatbot module for NexaCLM to answer questions across large volumes of contracts while minimizing hallucinations and incorrect legal interpretations. Implemented routing between vector retrieval and ReAct-style agent retrieval plus an automated grading/validation layer (cosine-similarity thresholds, retries) and deployed via GitHub Actions to Azure Container Apps, partnering closely with legal stakeholders to define risk/clause-focused objectives.”