Vetted Data Migration Professionals

“Salesforce developer with hands-on ownership of a complex Live Chat to Enhanced Chat migration, including LWC pre-chat forms, Apex/API integrations, Omni-Channel, Flow-based routing, and production rollout. Stands out for solving a difficult transcript-delivery requirement by designing an alternate conversation retrieval approach using Messaging Session, Apex callouts, and scheduled jobs.”

“Series A startup engineer with broad full-stack ownership across backend, data, and frontend, including a real-time ingestion platform that scaled to 10x higher daily volume without downtime while cutting latency from minutes to seconds. Brings strong fintech and B2B SaaS experience building auditable, high-throughput systems for analysts, operations, and compliance teams in regulated environments.”

“Insurtech R&D leader turned CTO with 25+ years across telecom, DoD, automotive, and commercial insurance. Built patented AI-driven insurance document ingestion (>95% accuracy with 1–3 samples) and led Azure-based backend/service development while managing up to 15 engineers at a commercial P&C MGA that reached a ~$60M book of business (~30 loss ratio) before run-off due to paper issues. Known for hands-on discovery (including field inspections) and rapid MVP delivery, including a risk-inspection iPad app that auto-generated draft reports.”

“QA professional from enterprise SaaS/cloud environments (Exeter; previously Boeing programs) with strong UI and end-to-end workflow testing experience. Known for rigorous defect investigation and validation across UI/API/DB layers (including SQL checks) and disciplined tooling/workflow in Jira/Azure DevOps/ALM Octane; has QA lead experience supporting release readiness and go/no-go decisions. No professional game studio/AAA shipping experience yet, but experience maps to complex, high-pressure release cycles.”

“Built a production internal LLM-powered knowledge assistant using a RAG architecture (Python, LLM APIs, cloud services) that answers employee questions with sourced, grounded responses from internal documents. Demonstrates strong practical depth in retrieval tuning (chunking/metadata filters), orchestration with LangChain, and production reliability practices (latency optimization, automated embedding refresh, evaluation metrics, logging/monitoring) while partnering closely with non-technical operations teams.”

Sri Harsha patallapalli

Screened

Mid-level Machine Learning & Data Infrastructure Engineer specializing in MLOps on AWS

Boston, MA5y exp

“Built and deployed a fine-tuned Qwen 2.5 14B model into production at Dextr.ai as the backbone for hotel-operations agentic workflows, running on AWS EKS with Triton and TensorRT-LLM. Demonstrates strong cost-aware LLM engineering (QLoRA, FP8/BF16 on H100) plus rigorous benchmarking/observability (Prometheus, LangSmith) with reported sub-30ms TTNT. Previously handled long-running ETL orchestration with Airflow at GE Healthcare and Lowe's.”

“Data/streaming engineer in capital markets who led an end-to-end trade settlement data product (Kafka→MongoDB→data lake) with rigorous data-quality logic and ~$175K first-year operational impact. Also built a low-latency Go-based CME market data engine feeding SOFR curve generation, using MSK on EKS with performance tuning (idempotency, compression, partitioning) to achieve sub-100ms delivery.”

Fawad Wahabzada

Screened

Senior Implementation Consultant specializing in legal and financial enterprise software

Fairfax, VA9y exp

“Client-facing implementation consultant/business analyst with end-to-end enterprise software delivery experience in law firms and other professional services organizations. Has worked across platforms like Elite 3E and Adren Expert, leading discovery workshops, process mapping, functional documentation, UAT, issue management, training, and go-live support for complex cross-department operational and financial workflows.”

Kunal Mahato

Screened

Mid-level Software Engineer specializing in AI, full-stack systems, and platform engineering

Virginia, USA6y exp

“Full-stack/AI engineer with experience spanning supply-chain product deployments, biomedical agentic search, and research-grade RAG evaluation. Stands out for owning customer-facing migrations at scale (including 216,000 historical shipments), building measurable LLM systems, and pairing AI experimentation with rigorous evals, rollout controls, and auditability.”

Zach Dosen

Screened

Executive product leader specializing in healthcare IT, AI, and enterprise SaaS

Marietta, GA18y exp

“Product leader with deep healthcare AI experience who has launched high-impact products at hc1 and now navigates complex franchise stakeholder environments at ABM. Stands out for pairing rigorous prioritization and human-centered AI design with measurable business results, including a 20% staffing cost reduction and a 62% reduction in lab test-matching labor.”

“IBM Power/AIX engineer with hands-on ownership across compute and SAN, including resolving a high-severity ERP latency incident by tracing it to SAN slow-drain on Cisco switches and orchestrating a port redistribution fix. Experienced running production HA/DR with HACMP and LPAR mobility (quarterly failover tests plus annual SunGard DR simulations) and building Bash-based monitoring/alerting automation to prevent outages.”

“Full-stack engineer who built a policy management and notifications platform end-to-end: Java/Spring Boot microservices with PostgreSQL plus a React/Redux UI, deployed on AWS with Docker and Jenkins CI/CD. Demonstrates strong real-world scaling and reliability practices (Redis caching, Kafka, query/index tuning, ACID transactions, locking, and idempotent processing) to handle high-volume concurrent workloads.”

“Data engineer at CenterPoint Energy who built and operated multiple production-grade GCP data systems: a daily Snowflake→BigQuery replication framework (150+ tables) with Monte Carlo/Atlan-driven observability and schema-drift protection, plus a FastAPI metrics service for pipeline health. Demonstrated measurable impact (40% faster dashboard queries, 70% less manual refresh work, zero data loss) and strong operational rigor (scaling Cloud Run jobs, SAP SLT reconciliation, quarantine patterns, CI/CD via GitHub Actions + Terraform).”

Narendra R

Screened

Senior Full-Stack Java Developer specializing in microservices and cloud platforms

Dallas, TX7y exp

“Backend engineer focused on scalable Python/Flask services and high-performance PostgreSQL/SQLAlchemy systems, with demonstrated wins like reducing N+1-driven response times to under 200ms and cutting P95 latency below 1s via background queues and caching. Has production experience operationalizing ML models as Dockerized APIs on AWS (S3/Lambda) with monitoring (CloudWatch/ELK), plus robust multi-tenant isolation using JWT-driven tenant context and row-level security.”

“PMP-certified implementation project manager with 7+ years leading enterprise SaaS rollouts in government-funded healthcare and human services environments. At Caseworthy, they have owned full-lifecycle deployments of ClientTrack and the Azure OpenAI-based CARA AI copilot, managing complex data migration, compliance, and stakeholder governance challenges across multiple concurrent projects.”

Craig Bower

Screened

Executive operations leader specializing in PE-backed healthcare platform integration

New York Metro, USA8y exp

“Healthcare and multi-entity operations leader who progressed from managing infrastructure at NYU Langone to building enterprise operating systems across acquired businesses at True Ventures Group, and now serves as founding COO at NSCS. Stands out for combining hands-on integration execution with executive-level governance, including $12M budget ownership, $1.3M in savings, double-digit EBITDA growth, and centralized shared-services buildouts across clinical and care operations.”

“Full-stack engineer with Bank of America experience modernizing a large-scale financial reporting platform. Built React frontends and Java/Spring Boot microservice APIs end-to-end, optimized data-heavy SQL performance (indexing/caching/pagination), and implemented an AI feature for forecasting and anomaly detection using Python/scikit-learn, with deployments supported on AWS.”

Nishad Kane

Screened

Mid-level Data Scientist & AI Engineer specializing in RAG, agentic AI, and production ML

5y exp

“AI/data engineer who built a production LLM-powered schema drift detection system (LangChain/LangGraph) to catch semantic data changes before they break downstream analytics/ML. Deployed on AWS with Docker/S3 and implemented an LLM-as-a-judge evaluation framework to improve trust, reduce hallucinations, and control false positives/alert fatigue. Collaborated with non-technical risk/business analytics stakeholders at EY by delivering human-readable drift explanations that improved confidence in financial analytics dashboards.”

“QA leader with end-to-end ownership of a web-UI automated B2B pricing platform at Cargill, known for using defect trend analytics (Jira/Jira AI) to uncover systemic config/integration risks before UAT/production. Implemented durable CAPA controls (config-change impact assessment gates) and improved release transparency with Copilot-generated Confluence readiness dashboards; cites 15% logistics cost reduction and 60% operational efficacy improvement. Also coordinated cross-shore QA teams across multiple countries with structured cadences and escalation paths.”

Supreet Purthpli

Screened

Mid-level AI/ML Software Engineer specializing in cloud-native MLOps and FinTech

San Francisco, CA4y exp

“Software engineer with JPMorgan Chase experience delivering end-to-end fintech features (Next.js/React/Node/Postgres on AWS) and measurable performance gains. Built and productionized an AI-native credit decisioning workflow combining LLMs, vector retrieval, and a rules engine with strong governance (bias checks, auditability, human-in-loop), improving precision and cutting underwriting turnaround time by 40%.”

“Full-stack engineer with deep experience building enterprise compliance and certification systems at Paycom, including complex approval workflows, live migrations, and large-scale assignment processing. Particularly strong at turning ambiguous business rules into reliable backend workflow logic and at designing trustworthy GraphQL/AI-assisted user experiences backed by real-time system data.”

“Fullstack engineer from Prudential who built a workflow automation platform for internal service reps, combining Angular/React frontends with NestJS, GraphQL, Kafka, MongoDB, and Redis. Stands out for translating ambiguous business problems into scalable metadata-driven systems, validating architecture through hands-on POCs, and delivering a measurable 40% reduction in transaction handling time.”

“Frontend-focused candidate with hands-on experience building React and TypeScript dashboards for searching, filtering, and analyzing large datasets in real time. Demonstrates practical performance tuning skills using React DevTools, memoization, debouncing, and pagination, and has also built a Mapbox-based location data dashboard with interactive markers and popups.”

“Unity/C# developer from an educational live-service product who spent 5 years shipping across desktop, VR, and mobile while building systems spanning localization, multiplayer, AI-driven avatar experiences, and accessibility. Particularly notable for owning a Lokalise-to-Unity I2 localization backend still in use today and helping lead a major Photon PUN to Fusion migration.”