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Vetted Data Engineering Professionals
Pre-screened and vetted.
Vivek Aher
Mid-Level Full-Stack Software Engineer specializing in mobile apps and payments
“Startup engineer who owned an end-to-end carpool marketplace experience at FavorIt (React Native, Firebase/Firestore, Cloud Functions, Stripe) and iterated rapidly using Mixpanel + feature flags while applying rigorous integrity controls for booking and payments. Also built a TypeScript/React + Go/Postgres workout tracker and previously worked on Spring Boot microservices for financial-institution workflow automation with event-driven patterns (outbox, idempotency, backpressure tuning).”
Vamshikrishna Chitturi
Mid-level AI Engineer specializing in Generative AI, LLM fine-tuning, and RAG systems
“Built and deployed production LLM applications including a natural-language-to-read-only-SQL system focused on ambiguity handling and query safety (schema whitelisting, intent validation, confidence checks, deterministic execution). Experienced with LangChain-based, modular agent orchestration and RAG document QA for large PDFs, with a metrics-driven testing/evaluation approach and cross-functional delivery with marketing on an AI content recommendation/search tool.”
Riya Stanly
Intern Data Scientist specializing in machine learning, NLP, and LLM fine-tuning
“Built a production-style AI meeting summarization and action-item extraction system (Azure Speech-to-Text + transformer summarization/NER) exposed via a Flask REST API, with explicit guardrails to prevent hallucinated tasks. Strong focus on reliability: modular agent/workflow design, precision-first evaluation with human-validated golden notes, and practical orchestration patterns (tool-augmented agents; ready to scale into Airflow/LangGraph/Prefect).”
Beyzanur Bilgin
Senior Product Owner specializing in data-driven platforms, payments, and AI automation
“F2P mobile LiveOps/product specialist (iOS) who acted as a bridge between product, design, and data during the live phase—analyzing player behavior, identifying loop friction, and iterating on progression, rewards, and live events. Emphasizes trust-preserving monetization through incremental cohort rollouts and tight monitoring of retention, funnel, revenue, and player feedback signals.”
Junior AI Engineer specializing in LLM agents, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in cloud ML pipelines and MLOps
Senior AI/ML Engineer specializing in Generative AI, NLP, and MLOps
Mid-Level Software Developer specializing in Java, cloud, and full-stack web development
Junior Backend Engineer specializing in Python, cloud-native systems, and data streaming
Staff Full-Stack Engineer specializing in scalable cloud services and system modernization
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior Python Developer specializing in FastAPI/Django, AWS, and data/AI platforms
Mid-level AI Engineer specializing in Generative AI and LLM agent systems
Senior AI/ML Engineer specializing in NLP, computer vision, and MLOps
Junior Data Scientist specializing in production ML, LLM systems, and cloud analytics
Senior Data Scientist / ML Engineer specializing in GenAI, NLP, and MLOps
Intern Software Engineer specializing in distributed systems and data pipelines
Mid-level Software Engineer specializing in backend systems and MLOps for FinTech and AI
Mid-level AI/ML Engineer specializing in Generative AI and MLOps for financial services
Mid-level AI Engineer specializing in Azure Generative AI and data platforms
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision, and LLMs