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Vetted Keras Professionals
Pre-screened and vetted.
Executive engineering leader specializing in capital markets, risk systems, and FinTech
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and on-device ML
Staff Software Engineer specializing in FinTech, AI/ML, and cloud microservices
Mid-level Full-Stack Python Engineer specializing in AI search and distributed systems
Senior Full-Stack Engineer specializing in AI/ML, LLMs, and RAG systems
Mid-level Generative AI & Machine Learning Engineer specializing in LLMs and RAG
Mid-level Software Engineer specializing in distributed systems and GenAI infrastructure
Junior Robotics Engineer specializing in autonomous systems and robot learning
Mid-level AI/ML Engineer specializing in LLMs, ranking systems, and MLOps
Junior Software Development Engineer specializing in IoT, robotics, and machine learning
Principal Data Scientist / AI Engineer specializing in healthcare-native AI platforms
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
Ashish Ernest Jeldi
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Alexander Choy
Director of AI/ML Engineering specializing in MLOps, data platforms, and 3D computer vision
“Backend/data engineer focused on production ML/LLM systems: built a real-time FastAPI inference API on Kubernetes with strong reliability patterns (timeouts, idempotent retries, centralized error handling). Delivered AWS platforms using EKS + Lambda with GitHub Actions/Helm CI/CD and built Glue-based ETL from S3/Kafka into Snowflake with schema evolution and data-quality controls; also modernized legacy analytics/recommendation workflows into Python services with safe, feature-flagged cutovers.”