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Vetted OCR Professionals
Pre-screened and vetted.
Mid-Level Software Engineer specializing in distributed systems for regulated domains
Senior Software Engineer specializing in low-latency C++ systems and AI infrastructure
Mid-level SDET specializing in test automation, API validation, and CI/CD
Mid-level AI/ML Engineer specializing in healthcare NLP, computer vision, and MLOps
Junior Data Scientist specializing in recommender systems and privacy-preserving computer vision
Intern AI/ML Engineer specializing in GenAI, RAG, and knowledge graphs
Mid-level Software Engineer specializing in Supply Chain and Cloud Platforms
Senior Data Scientist specializing in Generative AI, NLP, and ML for banking and healthcare
Mid-level Software Engineer specializing in cloud-native microservices and FinTech
Senior AI/ML Engineer specializing in LLMs, NLP, and production MLOps
Mid-level AI Engineer specializing in production LLM, RAG, and agentic AI systems
Saikrishna Paila
Junior AI Engineer specializing in RAG pipelines and agentic AI systems
“Built and shipped production RAG/agentic systems in high-stakes domains (biomedical and legal), including an enterprise biomedical document retrieval platform over ~10k scientific docs and a multilingual African-law assistant at the World Bank. Deep hands-on experience with LangChain/LangGraph/LlamaIndex and evaluation tooling (LLM-as-a-judge, safety/hallucination detection), with measurable gains in retrieval quality and hallucination reduction.”
Anvesh Reddy Narra
Mid-level AI/ML Engineer specializing in Generative AI, RAG, and MLOps
“Built a secure, on-prem/private GPT assistant to replace manual SharePoint-style search across thousands of policies/SOPs/engineering docs, using a production RAG stack (LangChain/LangGraph, FAISS/Chroma, PyMuPDF+OCR, vLLM). Implemented layout-aware ingestion (including table-to-JSON) and a multi-agent retrieval/generation/verification workflow with strong observability and compliance guardrails, delivering ~70% reduction in search time.”
Vrushti Shah
Junior Mobile & Full-Stack Software Engineer specializing in Flutter and Java/Spring
“Software engineer with experience at PTC (Onshape cloud CAD) and Firebolt building customer-facing features end-to-end—from user research and prototyping (tooltips, CSV imports) through deployment and usage monitoring. Also handled urgent production crashes in a Flutter mobile app across iOS/Android by diagnosing state-management conflicts and shipping a stabilizing patch; enjoys hands-on, customer-facing work and travel.”
Hiya Kothari
Intern Full-Stack Software Engineer specializing in AI/ML and cloud
“Built a Python-based geospatial machine learning backend for PFAS contamination risk mapping, including reproducible feature pipelines, ensemble modeling, and a FastAPI layer for visualization/analysis. Emphasizes data integrity and robustness (CRS/coverage checks, fail-fast validation) and has led safe backend refactors using feature flags, idempotent backfills, and Postgres RLS for secure, queryable results delivery.”
Omkar Tulsidas Parab
Mid-Level Full-Stack Software Engineer specializing in web apps, data pipelines, and ML
“Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.”