Vetted Data Migration Professionals

“Built and deployed a production LLM-powered document Q&A system using a strict RAG pipeline (LangChain-style orchestration + FAISS) to help users query large internal document sets. Demonstrates strong reliability focus through hallucination mitigation, curated offline evaluation with grounding checks, and production monitoring (latency/fallback rates) plus stakeholder alignment via demos and business metrics.”

Brittany Turner

Screened ReferencesStrong rec.

Senior Project Manager specializing in implementation and operational improvement

Remote, USA13y exp

“Project and implementation leader with deep experience in public sector SaaS and operational systems, spanning 30+ government implementations at JustFOIA and 600+ client implementations/migrations at AFS Logistics. Stands out for combining software delivery, governance, and compliance-minded process design with executive stakeholder management in complex government, utility, and labor-policy environments.”

“Backend engineer focused on reliability and production operations, with hands-on experience implementing an outbox pattern to keep database updates and downstream events consistent. They also described diagnosing transaction-related latency under heavy client traffic and using monitoring data to validate performance improvements, showing a pragmatic, systems-oriented approach to scaling integrations.”

Abe Schor

Screened

Senior Full-Stack Engineer specializing in web platforms and scalable backend systems

Atlanta, GA8y exp

“Backend-focused engineer with deep experience in logistics platforms, including a truck location-tracking system processing roughly 500K requests per day and a dispatcher task platform adopted by a major client. Also has hands-on applied AI experience using OpenAI to parse delivery PDFs into structured trip data, improving operational workflows through automation.”

“Project/program manager with senior-level ownership across SaaS implementations, cloud migrations, AI agents, and DevOps initiatives. Notably led an Azure AI Studio-based AI analysis tool from start to finish and managed an enterprise healthcare technology portfolio with interdependent AI, data extraction, Copilot, and web application projects.”

“Full-stack engineer with hands-on ownership of a production cart-audit workflow redesign, spanning schema redesign, Rails APIs, and frontend navigation for non-technical operations users. Particularly strong in modernizing legacy systems safely with rollback paths and clearer data relationships, while also building AI-powered side projects using Flask, LangChain, and GPT for GitHub code analysis.”

“Salesforce admin/developer with 3-4 years of experience spanning admin fundamentals through Apex, LWC, integrations, and Experience Cloud. Particularly strong in Service Cloud and case management optimization, including a redesign that cut manual effort by 50-60% while improving reporting accuracy and response times.”

“Founding engineer at an early-stage agent marketplace who built the core job lifecycle, live run viewer, and LLM-based verification/settlement flow that gated escrow release. Also worked on a multi-agent diagnostic system using a blackboard architecture with specialized models, structured outputs, and human-in-the-loop review—showing unusual depth in both product engineering and applied AI systems.”

“Full-stack engineer with experience spanning enterprise document platforms and AI-powered clinical education products. Built secure TypeScript/Next.js features end to end, designed multi-model LLM workflows with validation and monitoring in production, and modernized a legacy PHP monolith through blue-green deployment and incremental migration without outages.”

“FinTech engineer who has owned customer-facing onboarding deployments end-to-end, combining React/Node.js application development with workflow automation and post-launch operational metrics. They also implemented an LLM-driven onboarding assistant using contextual prompts and backend orchestration, and showed practical production experience debugging non-deterministic AI behavior caused by stale pipeline context.”

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“Talent/Recruiting Operations leader with experience scaling ops across healthcare and veterinary staffing, including managing 27 direct reports and 9 departments. Known for building KPI dashboards and bill-rate analytics to drive territory-level profitability, and for leading major systems changes (Salesforce to Jobvite) that cut time-to-hire from 30 days to 2 weeks while improving onboarding/orientation throughput and revenue capture.”

Binaya Sharma

Screened

Senior Software Engineer specializing in full-stack systems, big data, and applied AI

Baton Rouge, LA6y exp

“Built and deployed ForensicLLM, a local domain-specific LLaMA-3.1-8B model for digital forensic investigators using RAFT + RAG over 1000+ curated research papers, with citation-aware responses and rigorous evaluation (BERTScore/G-Eval). Deployed via vLLM and Docker and validated through a chatbot survey with 80+ participants; published at DFRWS EU 2025.”

MUNI CHARAN SINGAMALA

Screened

Mid-level Data Analyst/Data Engineer specializing in SQL, ETL pipelines, and BI dashboards

Florida, USA4y exp

“Built and supported a production analytics backend (Python, PostgreSQL/Teradata, Airflow) powering KPI/reporting dashboards, and resolved peak-time latency/timeouts through systematic SQL tuning (EXPLAIN ANALYZE, indexing, query rewrites, pre-aggregations). Also shipped an applied AI-style feature that generates plain-language report summaries from pre-computed metrics with validation, monitoring, and fallback to manual review.”

“Sales candidate with SDR-to-AE progression who combines very high outbound activity levels (roughly 500 emails and 200+ calls per day) with consultative demos and objection handling. Reported generating about $197.98K in pipeline and uses a practical, data-informed approach to building pipeline from scratch by leveraging existing customer relationships, referrals, and vertical engagement signals.”

“Ecommerce-focused full-stack developer with broad agency and brand experience, spanning Shopify, WordPress, and BigCommerce. Most notably built a custom app to sync products and inventory across three regional storefronts with 5k+ products, significantly reducing manual duplicate work for store employees. Strong fit for roles involving custom commerce apps, B2B ecommerce workflows, integrations, and headless storefronts.”