Vetted Microsoft SQL Server Professionals

Venkata Sai Niranjan Nadipineni

Screened

Senior Salesforce Developer specializing in Lightning and enterprise CRM

New Jersey, USA8y exp

“Salesforce-focused candidate with hands-on ownership of end-to-end Service Cloud automation, including Apex schedulable jobs for inactive portal user tracking, warning notifications, deactivation, and reporting. Demonstrates strong architectural judgment across Apex, LWC, and Aura, with particular strength in scalable design, performance optimization, and rigorous testing/debugging in complex Salesforce environments.”

“Backend engineer experienced in evolving high-scale legacy on-prem systems into cloud-native, event-driven microservices on AWS/Kubernetes (noted peak traffic ~1.5M QPS). Strong focus on reliability engineering and operational excellence—SLO-driven observability, GitOps/canary rollouts, chaos testing, and preventing cascading failures (e.g., retry-storm mitigation).”

“QA tester with ~9 years of IT/game QA experience testing console titles across PlayStation, Xbox, and Nintendo Switch, with a track record of finding platform-specific stability/performance issues (e.g., traced a Switch FPS drop/crash to a memory leak before submission). Strong in functional/regression/exploratory testing, cross-team coordination, and uses AI to speed up log analysis and improve bug report/test case quality; open to learning console certification standards (TRC/XR/LOTcheck).”

“Built and owned a production RAG search/Q&A platform at Data Integrity First for a client with a large, hard-to-search document library, deployed on AWS. Drove major adoption gains by adding source attribution (users trusted answers more) and improved system performance with guardrails, logging, and iterative chunking/OCR normalization—cutting fallback rate from ~22% to under 10%.”

Jason Tsui

Screened

Executive Finance Leader specializing in FP&A, BI, and cash flow optimization

Orange, CA14y exp

“Founder and financial-operations-focused consultant who builds FP&A/BI frameworks for early-stage and legacy businesses, including KPI systems tied to month-end close and integrated manufacturing/distribution datasets (BOM, PPV, rolling forecasts). Drove a 400% cash-position increase for a distribution client by redesigning collections analytics (customer-level DSO + proprietary PTC ratio) and has coached PE-installed executives through U.S. operational/legal and cultural nuances.”

Prabhdeep Gandhi

Screened

Mid-level Software Engineer specializing in real-time IoT and event-driven platforms

5y exp

“Founding engineer at a startup building LLM/agentic workflows for public-safety customers, with hands-on experience delivering a hybrid on-prem + secure cloud solution to meet strict compliance needs. Implemented OpenTelemetry observability for multimodal agentic systems behind closed networks and used the resulting traces to optimize prompting/token usage for customer-specific security integrations. Regularly runs technical workshops and supports pre/post-sales by translating integration feedback into product roadmap decisions.”

Hemanth Suddala

Screened

Mid-level GenAI Engineer specializing in LLM automation, RAG, and document intelligence

Boca Raton, FL3y exp

“Built and deployed a production GenAI resume screening and matching system for Florida Atlantic University, focused on improving recruiter efficiency and search relevance. Demonstrates strong RAG engineering (embeddings, query rewriting, metadata filtering, threshold tuning) plus practical reliability work (grounding constraints, fallbacks, and evaluation using real user queries) using Python REST APIs and orchestration frameworks like LangChain and LlamaIndex.”

hetvi patel

Screened

Mid-level Software/Data Engineer specializing in cloud ETL pipelines and data infrastructure

New Jersey5y exp

“Backend/data engineer who built a production analytics data service (Python/FastAPI on AWS/Postgres with PySpark ETL) handling millions of records per day and drove major latency improvements (10–15s to <2s) via indexing, Redis caching, and shifting aggregations into ETL. Also shipped an LLM-based natural-language-to-SQL assistant end-to-end with strong guardrails (schema restrictions, read-only validation, RBAC, masking) and designed a multi-step agent workflow with verification and fallback logic.”

Md Abul Kalam Azad

Screened

Director-level Software Development Leader specializing in FinTech, Blockchain, and AI

Kuala Lumpur, Malaysia24y exp

“Bootstrapped founder with a technical background who has already built an MVP SaaS loyalty and referral platform plus a tablet/mobile POS companion product, leveraging Azure and Google Cloud support rather than outside capital. Focused on learning-by-building, resource-efficient execution, and forming highly motivated, equity-aligned teams.”

“Data engineer who has owned high-volume production pipelines end-to-end (200–300 GB/day) on AWS, implementing strong data quality/observability and achieving 99.9% reliability while cutting data issues ~33%. Also built a large-scale external data collection system ingesting millions of records/day with anti-bot/rate-limit handling and backfill tooling, and shipped a versioned REST service exposing curated Snowflake data to downstream teams.”

“Operations/IT leader who has supported venture capital firms by rebuilding and consolidating their tech stacks and improving internal technology usage through training. Previously served as VP of Operations/IT at a VC (AlliedUP), owning IT plus HR and payroll and communicating tech improvements to investors; motivated to found a company and committed to entrepreneurship.”

“Senior engineering leader who says he spent the last 7 years implementing rather than planning, including building a one-person engineering function into a fully operational department with standards, KPIs, Scrum, QA, and automation. He also designed the full technical ecosystem across application, backend, enterprise architecture, ETL, IoT, and CI/CD, and has additional exposure to VC-backed environments and M&A integration leadership.”

“Serial founder and fractional CTO with 8 companies founded and 3 exits, now looking to commit full-time to a venture-backable startup. Currently advising two startups that recently raised $400K friends-and-family and $1M pre-seed, and brings thoughtful perspective on venture-scale economics, team quality, and AI disruption risk.”

“Junior web developer turned applied AI builder who has shipped both user-facing web UX improvements (Vue.js + Drupal/Twig) and production LLM systems. Built a Google Cloud-hosted Llama/Ollama RAG customer-service chatbot with citation-based guardrails and a metrics-driven eval loop, and also delivered a large-scale Python pipeline analyzing 14M Amazon consumer reviews for flavor-trend detection.”

“Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.”

Jason Wadsworth

Screened

Principal/Chief Cloud Architect specializing in AWS serverless SaaS platforms

Overland Park, KS24y exp

“Interested in early-stage ideation and evaluating new ideas through market viability and values alignment. Emphasizes building focused MVPs with limited resources using a value-first prioritization approach, and prefers people-centered concepts rather than profit-only ventures.”

Steve Majko-Ruben

Screened

Executive software architect specializing in AI, Azure, and enterprise platforms

Bellingham, WA25y exp

“Founder of NeuroCoreTech, an AI startup that has generated about $70K in under a year while building products including an interactive story platform, spam detection, and custom AI solutions. Brings startup experience dating back to 2009, exposure to $130M+ in fundraising, and a US patent, with a clear focus on revenue-first, privacy-conscious AI for PII/HIPAA-sensitive customers.”