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Vetted Data Preprocessing Professionals
Pre-screened and vetted.
Xingyu Chen
Junior Machine Learning Engineer specializing in generative AI and computer vision
“Built production AI features for image editing and object removal, including an agent that guides users to the right pipeline, validates inputs, refines prompts, and routes requests to GPU-backed generation services. Brings hands-on experience across multimodal control, generative model optimization, and post-launch iteration driven by failure analysis and user feedback.”
Akhilesh Patil
Junior AI/ML Engineer specializing in FinTech and generative AI
“Built an end-to-end AI bug triage dashboard that combined React/TypeScript, FastAPI, Postgres, and classical ML to reduce manual engineering triage work by about 40%. Stands out for pragmatic, product-minded AI engineering: choosing interpretable models when they were sufficient, designing human-in-the-loop UX for trust, and separately building an agentic RAG project with vector search, Neo4j knowledge graphs, and reranking.”
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Mid-level Software Engineer specializing in full-stack and cloud systems
Junior Software Engineer specializing in full-stack FinTech and AI-powered systems
Mid-level AI/ML Engineer specializing in fraud detection and customer lifetime value modeling
Mid-level Data Analytics Engineer specializing in cloud data platforms and FinTech
Intern software engineer specializing in backend, cloud, and security systems
Senior AI/ML Engineer specializing in Generative AI, NLP, and LLM systems
Mid-Level Software Engineer specializing in cloud-native microservices and AI/ML
Mid-level Data Scientist specializing in NLP, deep learning, and big data analytics
Senior Data Scientist specializing in Generative AI/NLP for legal and healthcare domains
Senior AI/ML Engineer specializing in Computer Vision, NLP, and Generative AI
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Senior Software Engineer specializing in backend and data systems
Mid-level Python Backend Developer specializing in FinTech and ML-driven fraud detection
Junior Robotics & AI Engineer specializing in autonomous systems and machine learning
Mid-level AI/ML Engineer specializing in recommendation, retrieval, and MLOps
Senior Full-Stack Engineer specializing in AI-powered enterprise applications
Pavan Devulapalle
Mid-level Software Engineer specializing in cloud platforms and AI-integrated full-stack development
“Backend engineer who built Flask-based internal APIs supporting GenAI-driven provisioning/diagnostics (Outpost/AWS Outposts-like environment), with deep hands-on optimization across Postgres/SQLAlchemy (2s to <200ms endpoint improvement). Experienced integrating ML/LLM workflows via AWS SageMaker and Bedrock, and designing multi-tenant isolation plus high-throughput Redis-backed background task pipelines (minutes to seconds).”
Alexander Smith
Junior Software Engineer and Data Scientist specializing in AI/ML systems
“Built production-grade automation and ML/data pipelines at Dun & Bradstreet and ThreadNotion, spanning large-scale document classification, country risk report automation, and resilient Playwright testing for dynamic AI chat workflows. Particularly strong in turning brittle or ambiguous systems into reliable, observable, end-to-end automated platforms.”
Tara Munjuluri
Junior Software Engineer specializing in full-stack and AI systems
“Backend-focused engineer with end-to-end ownership experience on internal platforms at John Deere, including a workforce and skills system that cut manual review time by 40%. Brings a strong reliability and compliance mindset across Java/Python microservices, AWS infrastructure, and production operations, and has also built an LLM-powered RAG system over 1M+ records with emphasis on grounded outputs and observability.”