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Vetted Data Transformation Professionals
Pre-screened and vetted.
Senior Full-Stack Developer specializing in Python, .NET, and AWS for financial data platforms
Mid-level Product Manager specializing in healthcare and B2B SaaS analytics
Mid-level Java Full-Stack Developer specializing in microservices and Healthcare IT
Mid-level Data Scientist specializing in machine learning and analytics
Junior AI Engineer specializing in distributed ML pipelines and time-series forecasting
Mid-level Software Engineer specializing in backend APIs and data pipelines
Mid-level Data Scientist specializing in ML, NLP, and analytics for FinTech
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Mohammed Saalim Kartapillai
Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices
“Backend engineer who built and shipped an end-to-end AI outreach product (LazyMails) combining a LinkedIn-scraping Chrome extension with a FastAPI/Postgres backend and Gemini-powered email generation, achieving major personal productivity gains. Also has enterprise experience at TCS on Humana’s 500k+ user wellness platform running Kubernetes microservices with Azure DevOps CI/CD, plus Kafka-based real-time eligibility event streaming and GitOps-driven operations.”
Mid-level Data Engineer specializing in cloud data pipelines and streaming analytics
Mid-level AI/ML Engineer specializing in financial risk, NLP, and MLOps
Director of Architecture & Data Engineering specializing in enterprise data platforms
Mahesh Ponnam
Mid-level Data Scientist specializing in credit risk, fraud detection, and ESG analytics
“AI/LLM practitioner who has deployed production chatbots across e-commerce, HRMS, and real estate, focusing on retrieval-first workflows for factual tasks like product and property search. Optimized intent understanding and significantly improved latency by using lightweight embeddings and tuning the inference pipeline on Groq (Llama 3.3), while applying modular orchestration and measurable production evaluation.”
Dhanush Chandra Sekhar
Junior Data Engineer specializing in data pipelines and streaming ingestion
“Backend/data platform engineer who owned a near-real-time patient feedback ingestion system, building a FastAPI + Kafka service with Snowflake/Airflow orchestration. Demonstrates strong production Kubernetes/GitOps practices on AWS EKS (Helm, Argo CD, Sealed Secrets) and solved real-time data integrity issues via idempotent processing with Redis.”
Senior Software Engineer specializing in AWS serverless, APIs, and data/ETL platforms
Mid-level AI/ML Engineer specializing in cloud-native data pipelines and RAG systems
Mid-Level Full-Stack Software Developer specializing in AWS cloud and microservices
Mid-level Machine Learning Engineer specializing in healthcare and financial AI