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Vetted Jupyter Notebook Professionals
Pre-screened and vetted.
Senior Data Scientist specializing in AI/Deep Learning and applied machine learning
Mid-level AI/ML Engineer specializing in GenAI agents and production ML systems
Mid-level Machine Learning Engineer specializing in MLOps and Generative AI
Mid-level Software Engineer specializing in distributed systems and FinTech platforms
Mid-level Machine Learning Engineer specializing in fraud detection and recommendations
Bhagya Sunkara
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Kella Dhanush Venkata Sai
Junior ML Engineer specializing in Generative AI and LLM applications
“Built a production internal knowledge assistant using a RAG pipeline over large spreadsheets, PDFs, and support documents, using transformer embeddings stored in FAISS. Focused on real-world production challenges—format normalization, retrieval quality, hallucination reduction (context-only + citations), and latency—using hybrid retrieval, quantization, and containerized deployment, and communicated the workflow to non-technical stakeholders using simple analogies.”
Jungwoo Park
Senior Product Manager specializing in enterprise platforms, developer learning, and AI
“Product leader at Microsoft Learn who has taken multiple education and cloud initiatives from ambiguity to deployment, including the zero-to-one launch of Microsoft Apply Skills. They combine product strategy with hands-on technical problem solving across APIs, cloud infrastructure, AI prototyping, and abuse prevention, with measurable wins like 300,000 activations in 3 months, a 15% lift in certification conversion, and quiz coverage growth from 15% to 50%.”
Christopher Khan
Senior Software Engineer specializing in Python, cloud platforms, and distributed systems
“Backend/data engineer with production experience at Walmart and HealthSnap building Python services and data pipelines on AWS (EKS, Lambda, Glue, Airflow). Strong reliability and operations focus—implemented idempotency + circuit breakers for peak-traffic consistency issues, GitOps CI/CD, and observability. Demonstrated measurable performance wins (Postgres p95 45s to <5s, ~60% CPU reduction) and modernized SAS batch workflows to Python with parallel-run parity validation and feature-flagged rollout.”
Mid-level Machine Learning Engineer specializing in deep learning, MLOps, and real-time inference
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and recommendation systems
Intern Product & Analytics professional specializing in SaaS, LegalTech, and Healthcare IT
Mid-Level Backend/Full-Stack Software Developer specializing in cloud-native APIs
Mid-level Software Engineer specializing in distributed systems and data platforms
Mid-level Solutions Engineer specializing in API integrations and data products
Mid-level Data Scientist specializing in LLMs, RAG, and personalization
Mid-level Data Engineer specializing in AWS ETL and data warehousing
Mid-level Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-level Machine Learning Engineer specializing in recommender systems and LLM/RAG pipelines
Staff-level Backend Engineer specializing in distributed data platforms and AI infrastructure
Senior Machine Learning Engineer specializing in GenAI, NLP, and MLOps
Technology Executive specializing in AI-native engineering and cybersecurity governance