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Vetted Data Quality Professionals
Pre-screened and vetted.
Junior Data Analyst specializing in reporting, automation, and business process improvement
Senior operations professional specializing in legal and client service workflows
Senior Machine Learning Engineer specializing in LLMs, RAG, and MLOps
Mid-Level ML/AI Engineer specializing in LLMs, RAG, and multi-agent systems
Intern Data Scientist and GenAI Software Engineering specializing in ML and LLM evaluation
Mid-level Generative AI Engineer specializing in LLMs, RAG, and NLP systems
Akash Mishra
Mid-level Data Engineer specializing in ETL pipelines on GCP
“Full-stack engineer from Larix Technologies who led a Next.js migration feature: an internal real-time workflow status dashboard built with App Router/TypeScript using server components for initial render and client polling for live updates. Demonstrates strong post-launch ownership—monitoring latency/error rates, adding caching and payload reductions, and optimizing Postgres queries/indexes—plus experience building durable RabbitMQ-based message routing workflows with idempotency, retries, and dead-letter queues.”
sruthi shanmukhi Patibandla
Mid-level Data Analyst specializing in dashboards, automation, and IT support analytics
“Built and productionized an LLM-powered service desk ticket triage and reporting agent that classifies, prioritizes (including sentiment/urgency), and summarizes tickets into structured SQL outputs feeding Power BI dashboards. Emphasizes production reliability (99% uptime) with retries, schema validation, confidence thresholds, human review queues, and rule-based fallbacks, delivering 85–90% reduction in manual effort and 25–30% faster resolution times.”
Harikrishna Kadari
Mid-level Data Engineer specializing in cloud ETL and big data pipelines
“Data engineer focused on building reliable, production-grade pipelines and data services end-to-end, including a 50+ GB/day pipeline ingesting from APIs/files into Snowflake with PySpark/SQL transformations. Emphasizes strong data quality controls, monitoring/retries, and performance optimization, and has also shipped a Python data API with caching and backward-compatible versioning.”
Chinmoy Das
Mid-Level Full-Stack Software Engineer specializing in AI agents and cloud platforms
“Backend/data engineer focused on climate/emissions data platforms, building production Python (FastAPI) microservices and AWS serverless/ETL pipelines (Glue/Athena/Lambda/EventBridge). Demonstrated strong reliability and observability practices plus measurable optimization wins, including cutting PostgreSQL query runtimes from minutes to seconds and reducing AWS costs from ~$6k/month to ~$400/month.”
Adarsh Vodnala
Mid-level Full-Stack Software Engineer specializing in SaaS and AI-enabled platforms
“Built and shipped production AI features in the automotive dealership domain, including an end-to-end computer-vision damage detection system for trade-ins and a tool-calling, RAG-enabled LotSync AI Agent that answers inventory/VIN questions using strict schemas and internal APIs to avoid hallucinations. Also developed a Dagster + Oracle automated reporting pipeline as a Graduate Research Assistant, supporting 15+ university departments with normalized, reliable ETL workflows.”
Pujitha Sangaraju
Mid-Level Embedded Software Engineer specializing in real-time firmware and industrial automation
“Robotics software engineer focused on reliability in real-time sensor pipelines and ROS/ROS2 integration, with hands-on experience hardening systems against noisy data, dropouts, and network variability. Uses ROS introspection tools plus simulation (Gazebo/Webots) to diagnose latency and stability issues before hardware deployment, and supports repeatable rollouts via Docker and CI/CD.”
Mid-level Data Scientist / AI Research Engineer specializing in LLMs, RAG, and applied ML
Mid-level Data Analyst specializing in BI, reporting automation, and operational analytics
Senior QA and Customer Success professional specializing in software quality and client operations
Intern Full-Stack Software Engineer specializing in web development, data pipelines, and cloud
Junior Data Analyst specializing in analytics engineering and forecasting
Mid-level Software Engineer specializing in full-stack web and cloud systems
Mid-level Data Engineer specializing in cloud-native batch and streaming pipelines
Mahaboob Johny
Mid-level Data Analyst specializing in SQL/Python analytics, ETL pipelines, and BI dashboards
“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”
Carlos Barrios
Mid-level Sales & Client Support professional specializing in CRM and lead management
“Sales support/BD profile from First Standard Financial with hands-on ownership of CRM hygiene, lead tracking/qualification, and client onboarding follow-through. Built lightweight processes in an unstructured early-stage environment (standardized onboarding info, CRM fields, follow-up reminders) and ran multi-channel re-engagement outreach across email, LinkedIn, and phone, finding phone calls most effective. Leverages AI tools for faster email drafting, document summarization, and CRM data cleaning.”
kireeti Sangarsh
Mid-level Data Engineer specializing in cloud ELT pipelines and analytics engineering
“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”