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Vetted ETL Pipelines Professionals
Pre-screened and vetted.
Executive Engineering Leader specializing in cloud platforms, data, and generative AI
Senior Machine Learning Engineer specializing in Generative AI and Healthcare IT
Principal AI & Cloud Architect specializing in banking and healthcare platforms
Senior Full-Stack Engineer specializing in FinTech and cloud-native systems
Senior Backend Engineer specializing in AWS serverless platforms for FinTech and Healthcare
Mid-level Data Scientist / ML Engineer specializing in risk, fraud, NLP and recommender systems
Mid-level Machine Learning/AI Engineer specializing in GenAI, RAG, and LLM inference
Mid-level Software Engineer specializing in backend systems, cloud platforms, and AI services
Mid-level Full-Stack Developer specializing in cloud-native web apps and LLM integrations
Mid-level AI Software Engineer specializing in agentic AI, RAG, and data engineering
Mid-level Business Intelligence Engineer specializing in AI-powered analytics
Mid-level Revenue Operations Analyst specializing in business analytics and Salesforce
Tushar Gwal
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and MLOps
“AI engineer with experience taking a GPT-4-powered GenAI career coach toward production on Azure AI Foundry, re-architecting the backend with hybrid (vector + keyword) search and RAG optimizations to cut latency by 50%. Also has client-facing TCS experience building healthcare ETL pipelines and delivering error-free monthly reports, plus current work analyzing agentic system reasoning traces and guardrail drift as an AI research fellow.”
Anju Vilashni Nandhakumar
Entry-level Machine Learning Engineer specializing in RAG and NLP systems
“Built a 24/7 Python/LangChain email agent in production with validation, circuit breakers, human-review escalation, and structured observability. Also applied data and automation skills at Community Dreams Foundation, including turning a vague donor-insights request into a usable donor-risk prediction workflow and raising ETL reliability from roughly 85% to 99% by diagnosing SQLite concurrency issues.”
Preetham Dandu
Junior Software Engineer specializing in backend, distributed systems, and cloud platforms
“MS candidate with strong backend/data engineering focus who builds research and data systems with production-grade rigor (reproducibility, observability, restartability). Has hands-on experience securing and scaling FastAPI-based gateways in front of Java microservices, leading SQL Server→Snowflake migrations with dual-write/feature-flag rollouts, and hardening Kafka-based fleet-tracking systems against out-of-order and duplicate events.”
Sai Amartya Maruth Mandadi
Mid-Level Python Full-Stack Engineer specializing in Financial Services
“Backend/platform engineer who owned an end-to-end financial data ingestion and validation system (Python/Django/FastAPI, Postgres, AWS), including large-file performance tuning, auditability, and CI/CD. Strong Kubernetes/EKS + ArgoCD GitOps practitioner and has delivered both Kafka-based real-time transaction streaming and a legacy on-prem stack migration to AWS (ECS Fargate, RDS, S3, Secrets Manager) with controlled cutovers and data consistency validation.”
Senior AI/ML Engineer specializing in decentralized AI and cloud-native platforms
Senior Technical Support Engineer specializing in cloud and distributed systems