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Vetted Streamlit Professionals
Pre-screened and vetted.
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Mid-level Full-Stack Software Engineer specializing in AI, data pipelines, and cloud-native apps
Mid-level Backend Software Engineer specializing in distributed systems and AI platforms
Junior Software Engineer specializing in Python microservices and full-stack web development
Senior Full-Stack Engineer specializing in Python/TypeScript web apps and AI (RAG, agentic workflows)
Junior Data Systems Analyst specializing in ML, NLP, and cloud deployment
Junior Full-Stack Developer specializing in JavaScript, React, and MongoDB
Junior Data Analyst specializing in analytics engineering and forecasting
Mid-level Full-Stack AI Engineer specializing in web and generative AI solutions
Mid-level Generative AI Engineer specializing in LLMs, RAG, and MLOps
Junior Generative AI Engineer specializing in LLM systems and RAG
Mid-level Database Developer specializing in SQL, ETL, and cloud data platforms
Mid-level AI Engineer specializing in LLM agents, RAG, and evaluation
Senior Data Scientist / ML Engineer specializing in NLP, speech AI, and computer vision
Entry-Level Full-Stack Engineer specializing in backend APIs and cloud architectures
Mid-Level Full-Stack Software Engineer specializing in web apps and AI-powered tools
Lalith Kambala
Junior Full-Stack Engineer specializing in AI-powered web applications
“Full-stack product engineer who has shipped AI-powered job board moderation and validation features end to end across React/TypeScript, serverless backends, and Postgres. Stands out for combining UX polish, LLM-backed workflow design, and reusable async infrastructure patterns to improve reliability, speed of delivery, and user participation.”
Harshit Vashisth
Junior AI Engineer specializing in LLMs, RAG systems, and MLOps
“Robotics software engineer who built an end-to-end system ("justmatrix"), focusing on multi-agent orchestration and a multi-RAG retrieval backend/API. Has hands-on ROS experience, including a custom node for reliable high-frequency sensor data routing, plus deployment automation using Docker, Kubernetes, and CI/CD.”
Sujal Bais
Junior AI/ML Engineer specializing in applied machine learning and data pipelines
“Built and deployed an LLM-powered automation pipeline that ingests voice and documents, transcribes/extracts key information into structured data, and routes it through backend workflows using Python/FastAPI. Uses n8n to orchestrate multi-step AI processes with validation, retries, and monitoring, and iterates with stakeholders via rapid demos to refine changing requirements.”
MUHAMMAD KHUSHAL KHAN
Mid-level Quantitative Developer specializing in low-latency trading systems
“Backend/ML engineer with deep fintech and marketplace experience: built a real-time financial analytics + algorithmic trading platform (Python/Postgres/Kafka/Redis) and drove major DB performance wins (10x faster analytics; sub-10ms response consistency). Also shipped an end-to-end ML recruitment matching platform (scraping/ETL/modeling/Django deployment) with reported 92% matching accuracy, and emphasizes production reliability via monitoring, blue-green deploys, and robust workflow error handling.”
Sarang Pratham
Junior Software Engineer specializing in data engineering and GenAI
“Built and deployed a production LLM-powered recruitment chatbot that automates key recruiting steps (sourcing, candidate engagement, screening). Strong in agent orchestration with LangGraph, including guided graph-based workflows, context-aware routing, and reliability measures like clarifying steps plus human-in-the-loop evaluation.”