Vetted Data Transformation Professionals

Sivamalai Chandrasekar

Screened

Mid-level Forward Deploy Engineer specializing in cloud platforms and customer deployments

Aspen, CO4y exp

“Built and deployed VotingConnect end-to-end, owning everything from stakeholder discovery to architecture, full-stack implementation, and post-launch stabilization, with reported outcomes including 99.9% uptime and a 40% increase in voter participation. Currently works at SIXT on Cobra, an AWS-powered fleet management platform, where they focus on real-time data integrity, anomaly resolution, and reporting workflows that directly support operational and revenue decisions.”

“Analytics-focused candidate with hands-on experience in both supply chain data and AI product analytics. They have built SQL and Python pipelines for messy ERP/inventory data as well as high-volume user event data, and have driven experimentation, retention measurement, and dashboarding for AI avatar and voice/image cloning features.”

“Operations-focused analytics candidate with hands-on experience turning messy production and QA data into clean reporting tables using SQL and Python. They have built repeatable Excel-based KPI workflows, defined practical manufacturing performance metrics, and used machine/shift segmentation plus stakeholder-friendly dashboards to reduce defects and improve production efficiency.”

“Healthcare-focused ML/AI engineer who has built production voice agents and clinical question-answering systems end-to-end, from experimentation through deployment, observability, and iteration. Particularly strong in making LLM systems reliable in real workflows via RAG, fine-tuning, guardrails, evaluation pipelines, and shared Python tooling; cites ~20% clinical QA accuracy gains and ~40% faster physician decision turnaround.”

Mohammed Saalim Kartapillai

Screened

Senior Backend/Full-Stack Engineer specializing in data platforms and cloud microservices

Chicago, Illinois7y exp

“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.”

“Backend/data engineer with hands-on experience building end-to-end data pipelines and Spring Boot services, including systems processing up to 1 million records per day. Demonstrates practical strength in reliability engineering, API versioning, external data ingestion, and early-stage delivery with CI/CD, observability, and pragmatic architecture choices.”

“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.”

“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.”

“Analytics professional with hands-on experience spanning enterprise supply chain data and workforce analytics. They’ve worked on a Manhattan Active WMS implementation for a pharmaceutical client integrating MAWM, JD Edwards, and Boomi, and also built SQL/Python/Tableau solutions for BankUnited/FIU to standardize retention and engagement reporting. Strong fit for roles requiring messy data wrangling, KPI operationalization, and stakeholder-trusted dashboards.”

Pranathi Kamisetty

Screened ReferencesStrong rec.

Intern AI Engineer specializing in LLMs, NLP, and conversational search

Chicago, Illinois1y exp

“Student building a production trip-planning LLM agent (LangChain + Streamlit) that routes user queries across multiple tools (maps/places/Wikipedia). Implemented zero-shot multi-label intent detection with priority rules to handle multi-intent requests, and collaborates with a startup product manager to shape tone, features, and user experience.”

“Healthcare analytics professional with hands-on experience turning messy claims, eligibility, and utilization data into validated BI-ready models using SQL and Python. They combine strong data engineering and KPI design skills with stakeholder-facing delivery, including Power BI prototyping, retention metric operationalization, and analyses that supported care management interventions and cost-control decisions.”