Vetted SQL Professionals

“Full-stack/backend engineer with deep insurance claims domain experience who built and operated a microservices + ETL platform (Java/Spring Boot + Python + Kafka/Databricks) processing 1M+ daily transactions. Combines production-grade reliability (99.7% uptime, zero-downtime blue/green releases, strong observability) with customer-facing UI delivery (AngularJS/React+TS dashboards and a hackathon-winning research chatbot).”

“QA engineer with 11+ years (nearly 12) in IT across financial, healthcare, and telecommunications domains, experienced partnering closely with developers throughout Agile delivery. Strong in building/maintaining living test plans, running smoke/regression on new builds, and driving triage with impact-based prioritization using Jira/TestRail/Confluence; targets $100k+ base with standard benefits.”

“Full-stack engineer with healthcare domain experience (UnitedHealthcare) delivering real-time claims/eligibility dashboards using Spring Boot microservices and React/TypeScript, with strong AWS/Kubernetes DevOps. Demonstrated measurable impact through performance tuning (33% faster retrieval; 45% faster responses during a 60% traffic spike) and HIPAA-aligned security practices. Also built production FastAPI services for high-volume financial transactions with strong testing and observability (95%+ coverage; Prometheus/Grafana).”

“AI/ML-focused backend engineer who shipped two production systems: PersonaPal (agentic LLM chatbot with RAG, FAISS-based retrieval, and Redis semantic caching) and CervixScan (clinical diagnostics platform with PostgreSQL data modeling and human-in-the-loop safety for low-confidence predictions). Demonstrates strong performance/reliability work (indexed vector search, caching, query optimization to ~200ms) and end-to-end ownership from orchestration design through deployment.”

“QA automation engineer with hands-on ownership of Selenium (C#) and Cypress (JavaScript) suites, including CI integration in GitLab with PR smoke gating and nightly regressions with JUnit reports/screenshots. Drove a reported ~60% reduction in manual effort, improved suite maintainability through reuse/merging tests, and proactively shaped requirements/acceptance criteria in sprint planning to prevent defects (including claims calculation and server/log-related issues).”

“Full-stack engineer (4+ years) with Citigroup experience building a modular banking dashboard using React/TypeScript/Redux and a Java Spring Boot microservices backend (12+ services) integrated with Kafka. Strong in reliability/observability and cloud operations on AWS (EC2/S3/Lambda, CloudWatch, Prometheus, ELK, IaC with Terraform/CloudFormation), with quantified improvements in latency, development speed, and data pipeline correctness.”

“Built production LLM tooling focused on reproducibility and verification by enforcing JSON schemas and using multi-step checks with tools like Firecrawl and Perplexity. Also implemented the containerized infrastructure layer for a 9-agent app on K3s, dealing with rolling updates and uptime, and has experience advising a non-technical builder on search grounding and LLM data-flow design.”

“Software engineer with Prudential Financial experience building enterprise Spring Boot microservices for policy/risk assessment, including integrating Python ML models via Flask and hardening services with resiliency patterns. Also led an AWS lift-and-shift modernization during an internship (EC2/ELB/Route53/Auto Scaling) and built a personal diffusion-model text-to-music project using BERT tokens mapped to Mel spectrograms.”

“Built a production, real-time clinical documentation system at HCA that converts doctor–patient conversations into structured clinical summaries using speech-to-text, LLM summarization, and RAG. Demonstrated measurable gains from medical-domain fine-tuning (clinical concept recall +18%, ROUGE-L 0.62 to 0.74) while meeting HIPAA constraints via PHI anonymization and encryption, and deployed via Docker/FastAPI with CI/CD and monitoring.”

“Full-stack engineer from HPE GreenLake who built and owned a cloud/hypervisor resource management experience end-to-end, including Postgres modeling, typed REST/GraphQL integrations, and resilient provisioning workflows. Drove a centralized Redux-based UI architecture that boosted dev velocity by 50% across 30+ teams, and continued post-launch ownership with DR integrations (AWS/GCP/Azure) plus expanded Cypress testing and observability.”

“Security-focused engineering leader working with an MSP and internal teams to tighten tenant security (least privilege/global admin reduction, conditional access, MFA) while maintaining operational responsiveness. Has implemented and operated Rapid7, Expel, Microsoft Defender/Entra, and Cisco Umbrella, and led a challenging Microsoft Copilot rollout integrating SharePoint and Salesforce with strong Jira/KB/postmortem practices.”

“Data engineer with Webster Bank experience owning end-to-end pipelines (APIs + databases) processing millions of records/day, improving data quality (25–30% fewer issues) and reliability (~99.9% successful runs). Built resilient external data ingestion/scraping systems (schema-change validation, idempotent backfills, monitoring/alerts) and shipped a FastAPI service exposing curated datasets with versioning and consistently low latency.”

“Worked on a long-running, high-dependency production rollout in financial post-trade systems, delivering trade-booking functionality on post-trade feeds used by multiple downstream teams. Emphasizes cross-team/external-team coordination and extensive testing to avoid disruptions, with additional experience improving application reliability via VPN-based resiliency measures.”

Hiya Kothari

Screened

Intern Full-Stack Software Engineer specializing in AI/ML and cloud

San Francisco, CA3y exp

“Built a Python-based geospatial machine learning backend for PFAS contamination risk mapping, including reproducible feature pipelines, ensemble modeling, and a FastAPI layer for visualization/analysis. Emphasizes data integrity and robustness (CRS/coverage checks, fail-fast validation) and has led safe backend refactors using feature flags, idempotent backfills, and Postgres RLS for secure, queryable results delivery.”

Yashodhar Pansuria

Screened

Senior Full-Stack Java Developer specializing in capital markets and trading systems

East Windsor, NJ12y exp

“Backend/data engineer with production experience in payment initiation/processing services built in Python/FastAPI, emphasizing reliability patterns (JWT/RBAC, timeouts, retries, circuit breakers). Has delivered AWS deployments on ECS (ALB, autoscaling, CI/CD to ECR) plus Lambda-based reporting, and built AWS Glue ETL pipelines with schema evolution and CloudWatch monitoring. Also modernized a legacy SAS reporting platform to Python/PostgreSQL with regression parity testing and parallel-run migration, and achieved a 70% SQL performance improvement.”

Bharath Lingireddy

Screened

Mid-level Supply Chain Analyst specializing in strategic sourcing and supply chain analytics

Spring, TX5y exp

“Sourcing/procurement professional focused on electronic components, leading end-to-end RFQ and supplier selection through negotiation and delivery. Demonstrates strong data-driven cost management (Power BI modeling, benchmark pricing) and measurable results including ~18% cost reduction, avoiding production delays during shortages, and automating RFQ comparisons to cut cycle time ~40%.”

Serkan Yildirim

Screened

Staff Full-Stack Software Engineer / Tech Lead specializing in scalable web platforms

Chicago, IL12y exp

“Frontend engineer who has led end-to-end delivery of a bag tag management application and contributed to a bank wealth application using micro-frontends. Emphasizes scalable architecture, reusable component systems (Storybook), performance techniques (lazy loading/code splitting), and quality/security tooling (Veracode, Wiz Scan, SonarQube) with a disciplined multi-environment release process.”

Suraj Thangellapally

Screened

Junior Software Engineer specializing in machine learning and data science

San Jose, CA2y exp

“Python backend engineer who built a personal LLM-powered AI code review tool that parses code into context-preserving diff chunks and uses the OpenAI API to analyze and summarize changes. Has hands-on Kubernetes deployment experience (replicas, rolling updates, ConfigMaps/Secrets, health probes) and follows GitOps-style, declarative CI/CD workflows; also has experience designing streaming/event-style processing with attention to reliability and observability.”

Sri Vyshnavi Maganti

Screened

Senior Business Analytics Analyst specializing in product and customer analytics

Texas, USA7y exp

“Darwinbox team member who supported talent/recruiting operations while also driving product improvements across HR modules (recruitment, onboarding, payroll, performance). Led a small team (5–6) and implemented discovery-driven configuration and BI reporting (Power BI/Tableau/Confluence), including a reported 30% reduction in recruitment configuration issues and real-time funnel reporting to support fast hiring.”

Jurien Garrison

Screened

Principal Talent Acquisition Leader specializing in technical and GTM hiring for SaaS and AI

New York City, NY12y exp

“Recruiting leader managing teams of up to 26 who stays hands-on with high-impact executive searches; recently led and closed a VP of Revenue search in 60 days to unblock revenue growth. Partners closely with HRBPs and executive stakeholders (including CFO) on workforce planning, attrition reduction, and compensation/leveling decisions, and has rebuilt recruiting processes with structured, metrics-driven adoption.”

Somil Shah

Screened

Mid-level AI/ML Engineer specializing in generative AI, RAG platforms, and LLM agents

San Francisco, CA4y exp

“AI/LLM engineer who has shipped 10+ production applications, including InvestIQ on GCP—a production-grade RAG due-diligence engine that ethically scrapes web/PDF sources, builds a ChromaDB knowledge base, and delivers analyst-style dashboards plus a citation-backed chat copilot. Deep focus on reliability (evidence-only answers, hard citations, refusal gating), retrieval tuning, and orchestration (Airflow/Cloud Composer), plus multi-agent systems (CrewAI with 7 specialized finance agents).”

Omkar Tulsidas Parab

Screened

Mid-Level Full-Stack Software Engineer specializing in web apps, data pipelines, and ML

San Francisco, CA4y exp

“Software engineer who owned an Order Management System end-to-end at Reliance Jio, improving large-table performance via UI virtualization shipped behind feature flags and refined through direct ops-user observation. Also built an OCR automation tool at Piramal Realty using Python/Tesseract with validation and manual correction fallbacks, driving adoption by operations teams. Experienced integrating with Kafka-based microservices and improving observability using structured logging and correlation IDs.”

Saniya Athani

Screened

Junior Software Engineer specializing in cloud-native DevOps and GenAI

San Francisco Bay Area, CA2y exp

“Cloud-focused engineer with hands-on experience deploying production cloud-native REST APIs on AWS using Pulumi IaC, containerization, and CI/CD, with strong emphasis on secure credential management and operational monitoring via CloudWatch. Also has IoT troubleshooting experience across edge hardware constraints and networking (TLS handshake failures), plus Python-based configurable data-processing tools and customer-facing requirements translation.”

Akam Pachachi

Screened

Executive Sales & Partnerships Leader specializing in Enterprise SaaS, Travel Tech, and Market Expansion

Oshawa, Canada14y exp

“Partnerships and growth leader (Traveronto) specializing in partner-led GTM through enterprise/API integrations and white-label distribution. Uses rigorous analytics (audience overlap, engagement quality, cohort retention/LTV) to source and scale creator/platform partnerships, and runs funnel-driven A/B tests on onboarding and pricing to improve activation, GMV, and recurring revenue while keeping CAC low.”