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Vetted Streamlit Professionals
Pre-screened and vetted.
Ujwal Jibhkate
Junior AI Software Engineer specializing in GenAI and full-stack ML deployment
“Backend/Founding-Engineer-style builder who architected AESOP, a multi-agent distributed platform for biomedical literature evidence synthesis. Implemented an async FastAPI stack on AWS with LangGraph orchestration, Redis/Postgres+pgvector, and Celery-based background processing, plus defense-in-depth security (JWT refresh/rotation and DB-level isolation). Notable for hardening LLM workflows with multi-layer validation and convergence safeguards to prevent hallucinations and infinite agent loops.”
“Built an AI-driven insurance policy summarization platform at Marsh, taking it end-to-end from messy PDF ingestion/OCR and custom extraction through LLM fine-tuning and AWS SageMaker deployment. Delivered measurable impact (25% reduction in manual review time, 99% uptime) and demonstrated strong production MLOps/LLMOps practices with Airflow/Step Functions orchestration, rigorous evaluation (ROUGE + human review), and continuous monitoring for drift, latency, and hallucinations.”
Akhilesh Babu Tumati
Mid-level Full-Stack Software Engineer specializing in cloud-native and AI-integrated systems
“Built and deployed a Virginia Tech CS department blog/archive application using a MERN/Next.js stack and a fully serverless AWS architecture (Lambda, API Gateway, S3, CloudFront, Route 53), including CI/CD via the Serverless Framework. Implemented RBAC for student/faculty/admin users and added an article export feature backed by MongoDB.”
Deepika Dhanajayan
Mid-level Data Scientist specializing in Generative AI, RAG systems, and ML engineering
“AI/LLM engineer who built a production QA RAG for a University of Massachusetts faculty success initiative, cutting service tickets by 70%. Strong end-to-end RAG implementation skills (LangChain, Qdrant, hybrid/HyDE retrieval, FastAPI) with rigorous evaluation (RAGAS, LLM-as-judge) and practical handling of constraints like API rate limits and cost. Prior cross-functional delivery experience collaborating with SMEs and business owners at TCS and IBM.”
Mid-level AI/Data Scientist specializing in NLP, RAG chatbots, and GenAI on AWS
Intern Software Engineer specializing in AI agents and computer vision
Mid-level AI/ML Engineer specializing in NLP, recommender systems, and Generative AI
Mid-level AI/ML Engineer specializing in Generative AI and LLM solutions
Mid-Level Software Engineer specializing in full-stack systems and applied AI/LLMs
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs
Mid-level AI/ML Engineer specializing in LLMs, RAG systems, and MLOps
Mid-level Machine Learning Engineer specializing in GenAI and scalable ML pipelines
Junior Full-Stack Developer specializing in healthcare and financial services systems
Mid-level AI/ML Engineer specializing in LLMs, NLP, Computer Vision, and MLOps
Mid-Level Software Development Engineer specializing in Java backend systems for Healthcare and FinTech
Junior Software Engineer specializing in automation and full-stack FinTech systems
Senior Data Scientist specializing in machine learning, MLOps, and generative AI
Mid-Level Software Engineer specializing in distributed systems, cloud, and data platforms
Mid-level Machine Learning Engineer specializing in insurance and healthcare AI
Mid-level Generative AI Engineer specializing in LLM applications and RAG
Senior QA/Development Test Engineer specializing in VR and game platforms
Intern Software Engineer specializing in full-stack, Kubernetes, and ML