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Vetted pandas Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in ML, NLP, and analytics for FinTech
Mid-level Software Development Engineer specializing in Java microservices and FinTech
Mid-Level Software Development Engineer specializing in cloud platforms, IAM, and secure GenAI
Mid-level Backend Python Developer specializing in APIs, ETL, and transaction processing
Mid-level Full-Stack Engineer specializing in microservices and cloud-native systems
Mid-level Data Engineer specializing in cloud ETL, streaming, and data warehousing
Mid-level Machine Learning Engineer specializing in production ML, MLOps, and Generative AI
Mid-level Data Engineer specializing in AWS, Snowflake, Databricks, and PySpark
Senior Full-Stack Python Developer specializing in microservices, data engineering, and cloud
Senior Full-Stack Python Engineer specializing in scalable web apps and APIs
Sree Gautham Alluri
Mid-level Robotics & AI Developer specializing in autonomous navigation and LLM-powered robotic systems
“Robotics Support Engineer at HAI Robotics supporting a 385-robot warehouse fleet at a Shein client site. Built a production automation and reporting workflow to diagnose and resolve abnormal shelf locations, cutting incidents from ~250/day to ~25/day while providing actionable root-cause data to client/ops/maintenance. Hands-on ROS 2 (Humble) debugging across Nav2/localization/TF and sensor integration issues including QoS and firmware coordination.”
sai anuragh Sangoju
Mid-level AI/ML Engineer specializing in fraud detection, credit risk, and NLP
“Built and deployed a production LLM-powered university support chatbot on Azure using a RAG pipeline, focusing on reducing hallucinations, improving latency, and handling ambiguous queries via confidence checks and clarification prompts. Also has hands-on orchestration experience (Airflow/Azure Data Factory), including hardening a demand-forecasting ingestion workflow with sensors, retries, and automated alerts, and uses a metrics-driven testing/monitoring approach for reliable AI agents.”
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and Azure
“AI/ML engineer who led Impacter AI’s production deployment of a specialized outreach LLM (CharmedLLM) fine-tuned on GPT-4.1, cutting API costs ~40% while boosting outreach effectiveness ~60%. Built the supporting MLOps and data infrastructure (MLflow, Kubernetes, PySpark, Kafka) and has agentic AI experience from University of Dayton, using LangChain + RAG and vector search (Pinecone) to improve reliability and reduce hallucinations.”
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 Backend Software Engineer specializing in distributed systems and cloud-native microservices
Mid-level AI Engineer specializing in LLM, RAG, and multi-agent systems
Principal Software Architect specializing in Healthcare IT and cloud-native systems
Junior Robotics and Computer Vision Engineer specializing in perception and autonomy