Vetted Engineering Professionals

“Backend/AI engineer who has owned production agentic systems end-to-end, including a CRM-integrated multi-agent financial workflow at Wow Payments that cut latency by 83% and achieved 98% uptime. Also built an AI real estate product ('Site IQ') by turning vague stakeholder goals into a geospatial autonomous agent using RAG, rapid prototyping, and tight validation layers around GPT-4 outputs.”

“Frontend-focused engineer with experience delivering a major licensing-model migration, moving customers from legacy key-based licensing to a dynamic renewal experience. Strongest signals are in React/TypeScript architecture, reusable component design, micro frontends, and frontend quality/performance practices.”

“Frontend-focused engineer at YTech Global with roughly 3.5 years on a logistics contract management platform, owning major pieces of architecture for micro frontends, real-time workflows, and operational dashboards. They describe building the first UI-based contract management experience for shippers and carriers, helping grow usage from 10,000 to 20,000 users while partnering closely with backend teams on API and WebSocket design.”

“Front-end engineer with experience building high-stakes internal products in financial services at Visa and Wells Fargo. They combine deep browser-performance knowledge with pragmatic typed architecture and close user observation, delivering measurable outcomes like cutting AML case resolution from 12 days to 4 and improving trader alert response through data-driven UI changes.”

“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.”

Sanket Mungikar

Screened

Mid-level Software Engineer specializing in distributed backend and AI analytics platforms

California, USA4y exp

“Full-stack engineer at BigCommerce who combines customer-facing deployment ownership with hands-on AI/LLM systems work. Built and launched merchant analytics and predictive inventory workflows using React, TypeScript, FastAPI, Kafka, AWS, and RAG-style architectures, and has real production experience debugging non-deterministic AI issues caused by data pipeline freshness and event-ordering problems.”

Sai Divya Mulukala

Screened

Mid-level Full-Stack Software Engineer specializing in FinTech and distributed systems

USA5y exp

“Full-stack engineer with experience building operational dashboards at Walmart and improving digital banking experiences at Bank of America. Stands out for tracing performance issues across frontend, APIs, and backend services, including cutting response times from 1.2s to 700ms and resolving duplicate event-processing problems in distributed systems.”

“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-leaning full-stack engineer who built and fully owned a production crew scheduling system at Archer using Next.js App Router/TypeScript, including a real-time, virtualized timeline handling ~1,200 crew over a 30-day window. Drove major post-launch improvements (60 FPS scrolling, PubNub-based soft-locking to cut conflicts ~90%) and created a correlation-ID-driven state replay/logging tool to debug hard-to-reproduce production issues while also contributing to FastAPI/SQLAlchemy/Postgres performance work.”

“Entry-level software engineer with strong full-stack experience building React/TypeScript and Node.js analytics products, especially around performance optimization for large datasets. Stands out for combining hands-on engineering with user discovery, and for delivering measurable wins like 40% fewer API calls, page load improvements from 3.2s to 1.1s, and 70% faster PostgreSQL queries during an internship at Tapastry.”

“Front-end engineer who built a sophisticated browser-based registration platform for the JPMorgan Corporate Challenge, serving global users and handling team-based registration complexity, concurrency, and performance. Stands out for combining React/TypeScript UI engineering with accessibility improvements, UX polish, and production-minded reliability practices like Datadog monitoring and Kubernetes health checks.”

“Built and owned Citigroup's ASTRA AI-powered test case generation platform end to end, from full-stack product experience to multi-agent LLM orchestration and RAG infrastructure. Drove test coverage from 40% to 95%, cut generation time from hours to minutes, and scaled the feature to 300+ daily users across 32 enterprise projects with sponsorship from Citi's CIO and Head of Engineering Excellence.”

“Built an internal AI-powered document search and Q&A platform at BNY that let employees query company documents in natural language and get grounded answers in seconds. Brings practical full-stack and LLM systems experience across React/TypeScript, FastAPI, Pinecone, OpenAI, and Claude, with clear emphasis on retrieval quality, hallucination reduction, and production monitoring.”

“Platform/DevSecOps engineer who combines full-stack product ownership with practical LLM systems in production. They built a self-service secrets management portal that reduced DevOps bottlenecks while maintaining compliance, and shipped AI-powered deployment debugging and security-remediation workflows with strong guardrails, monitoring, and human-in-the-loop controls.”

rajasri mamidi

Screened

Mid-level Frontend Engineer specializing in FinTech web applications

Jersey City, NJ5y exp

“Frontend-leaning product engineer with strong end-to-end ownership across AI support and real-time observability products. They combine React/TypeScript architecture depth with backend/API collaboration, deployment ownership, and measurable impact, including a 40% reduction in support-agent lookup time.”

“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.”

“Built and owned an AI-powered real-time financial fraud detection and monitoring platform end-to-end, spanning product decisions, backend architecture, frontend dashboards, deployment, and production support. Their work scaled to 120M transactions/day and materially improved fraud detection accuracy from 78% to 94%, showing rare breadth across distributed systems, observability, and React-based operational analytics.”

Murali Marupudi

Screened

Mid-level Backend Engineer specializing in Python microservices and scalable systems

Jersey City, NJ4y exp

“Full-stack engineer with hands-on experience shipping both secure platform features and production AI systems. They combine React/TypeScript, Flask/Node.js, and PostgreSQL fundamentals with practical LLM and NLP implementation, including retrieval, schema-validated outputs, monitoring, and human-in-the-loop safeguards. Notable impact includes cutting manual review by 40% and reducing post-update error rates by over 20%.”

“Backend engineer focused on Java/Spring Boot microservices, workforce scheduling APIs, and event-driven systems. He uses AI tools pragmatically—roughly 25-30% assistance for scaffolding and optimization—while keeping architecture, debugging, testing, and final decisions under tight manual control. Strong on reliability and observability, with hands-on experience in Kafka-based workflows, distributed tracing, and evaluating agent frameworks like LangChain against production needs.”

Supreet Purthpli

Screened

Mid-level Software Engineer specializing in FinTech and cloud-native systems

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%.”

Lahari Reddy

Screened

Mid-level Software Developer specializing in full-stack FinTech systems

USA4y exp

“Full-stack engineer with ~2.5 years of experience spanning real-time financial systems and production AI features at BNY Mellon and KPMG. Built a trading dashboard that improved latency by 30% and an AI-assisted financial insights system that cut manual analysis by 40%, with hands-on experience in LLM/RAG architecture, evaluation, and monitoring in regulated financial environments.”

“Backend engineer who designed and evolved an AWS-based event-processing system in Python/PostgreSQL, achieving a 60% p95 latency reduction while improving reliability during traffic spikes. Led a zero-downtime migration from a monolithic Django app to FastAPI microservices using feature flags, strong testing, and cross-team coordination, with production-grade observability (Prometheus/Grafana/CloudWatch) and security (JWT/OAuth2, RBAC, Postgres RLS).”

“Robotics software engineer with semiconductor wafer-handling automation experience at Mattson Technology, building C++ control software for ATM and vacuum robots coordinating through a load-lock (pressure/door/pump sequencing). Implemented multi-vendor communications with auto-detection across SECS serial and TCP/IP, and validated behavior using simulation + GUI animation, logging/sniffers, and hardware-in-the-loop testing; currently self-studying ROS 2.”

“Backend engineer who built an async FastAPI data pipeline at GHN Career Academy to replace a manual Excel-based workflow, migrating 30k+ contact records into Airtable with validation/deduplication and best-effort GPT-based enrichment. Emphasizes reliability under messy real-world data and partial failures via structured logging, retries, and resumable processing, unlocking downstream automations (e.g., Zapier and chatbots).”