Vetted Data Analysts

“AI/LLM engineer who built a production intelligent support system using RAG over a vectorized documentation library, addressing real-world issues like lost-in-the-middle context failures and doc freshness via automated GitHub-driven re-embedding pipelines. Emphasizes rigorous agent evaluation (component/E2E/ops) and prefers lightweight, decoupled workflow automation using message brokers (Redis/RabbitMQ) over heavyweight orchestration frameworks.”

“IBM engineer who built and deployed a production RAG-based LLM assistant using LangChain/FAISS with a fine-tuned LLaMA model, served via FastAPI microservices on Kubernetes, achieving 99%+ uptime. Demonstrates strong practical expertise in reducing hallucinations (semantic chunking + metadata-driven retrieval) and managing latency, plus mature MLOps practices (Airflow/dbt pipelines, MLflow tracking, monitoring, A/B and shadow deployments) and effective collaboration with non-technical stakeholders.”

Srikanth Reddy

Screened

Mid-level AI/ML Engineer specializing in GenAI and financial risk & compliance analytics

Plainsboro, NJ7y exp

“Built and deployed a production LLM-powered financial risk and compliance platform to reduce manual trade exception handling and speed up insights from regulatory documents. Implemented a LangChain multi-agent workflow with structured/unstructured data integration (Redshift + vector DB) and emphasized hallucination reduction for regulatory safety using Amazon Bedrock. Strong MLOps/orchestration background across Kubernetes, Airflow, Jenkins, and monitoring/testing with MLflow, Evidently AI, and PyTest.”

Corbin Ward

Screened

Junior Product Manager / APM specializing in data tools, CMS platforms, and AI-enabled products

San Jose, CA1y exp

“Data Software Tools Analyst at Q.ai through rapid growth and a $2B Apple acquisition who led an internal CMS for participant/PII workflows using Next.js (App Router) + FastAPI/Postgres with strong security controls (JWT + Postgres RLS). Also drove a major frontend architecture shift toward React Server Components, reporting ~4x faster page loads, and has experience building durable realtime collaboration systems with Supabase/SvelteKit and server-centric state management.”

Atharv Sankpal

Screened

Mid-level Data Analyst specializing in financial and healthcare analytics

Baltimore, MD4y exp

“Analytics professional with experience at JPMorgan and Deloitte, focused on financial and risk data. They stand out for building scalable SQL/Python data pipelines, KPI and forecasting dashboards, and retention/cohort metrics that improved reporting reliability, forecast accuracy, and planning speed.”

“Healthcare analytics professional with TCS/Humana experience turning messy claims and eligibility data into reliable reporting assets using SQL and Python. They combine strong data engineering and analytics execution with stakeholder management, including automating monthly claims reporting from half a day to under 5 minutes and driving a provider outreach effort that reduced claim rejection rates by about 20%.”

“Data/ML practitioner with experience at UnitedHealth Group building a fraud claims detection solution combining structured claims data and unstructured notes, validated with compliance stakeholders to improve actionable accuracy. Also applied embeddings, vector databases, and fine-tuned language models in a Bank of America capstone to detect threats/anomalies in financial documents, with production-minded Python ETL workflows using Airflow.”

Surya Vamshi Sriperambudooru

Screened

Mid-level AI Engineer specializing in healthcare claims analytics and RAG copilots

Remote, US4y exp

“Built a production "appeals co-pilot" for a healthcare claims appeals team, combining an XGBoost/logistic ranking model with a Python/LangChain RAG stack (FAISS + Mistral 7B) to surface high-probability appeal wins and speed policy-grounded drafting. Emphasizes reliability and trust: hybrid retrieval with metadata routing, citation/eval scripts, guardrails, and an explainability layer that non-technical stakeholders could understand and override.”

Ashrita Mishra

Screened

Mid-level Data Analyst specializing in analytics, ETL, and cloud data platforms

Jersey City, NJ4y exp

“Data analyst with 4 years of experience spanning banking and retail/marketing analytics. Has hands-on experience building churn analytics pipelines in SQL and Python, optimizing large-query performance, and turning stakeholder-aligned metrics into recurring dashboards and business actions.”

“Analytics professional with hands-on experience building SQL/Python pipelines, customer ID mapping logic, and self-serve BI dashboards across marketing/CRM and regulated aviation reporting environments. Particularly strong in turning messy multi-source data into trusted reporting assets, with repeated claims of major efficiency gains, faster decision-making, and high-confidence stakeholder adoption.”

“Engineering leader focused on developer platforms and identity: led a 5-person team building a multi-tenant IAM framework extending Duende IdentityServer, including governance, API standards, and multi-language SDKs. Drove major API architecture improvements by introducing GraphQL alongside REST, cutting client calls from 4 to 1 and reducing payload size by 60% within 6 months, with strong emphasis on stability (semver, E2E tests, feature flags, blue-green deploys).”