Vetted Angular Professionals

Mahesh Kota

Screened

Mid-level Full-Stack Java Developer specializing in cloud-native FinTech and Healthcare platforms

New York, NY5y exp

“Backend engineer with production experience building and scaling a Java/Spring Boot payment processing API on AWS (PostgreSQL/Redis) handling a few thousand RPS, including deep performance debugging (connection exhaustion) and observability (CloudWatch, Actuator, Zipkin). Also shipped application-layer AI features (OpenAI email summarizer with feedback loop, ~40% faster agent response times) and designed reliable multi-step workflow orchestration with retries and manual escalation, plus strong SQL tuning and Python engineering practices.”

Ganesh Pittala

Screened

Senior Software Engineer specializing in distributed systems and cloud-native platforms

New York, USA5y exp

“Backend-leaning full-stack engineer with experience at Walmart, Qualtrics, and American Express, shipping secure partner-facing API platforms and internal monitoring dashboards. Strong in AWS production operations (ECS/Fargate, RDS/Postgres, CloudWatch) plus rigorous testing/security practices, with measurable delivery and performance improvements (35% faster releases; ~30–40% latency reductions).”

Pranita Agrawal

Screened

Mid-level Software Engineer specializing in Java microservices and AWS

California, USA5y exp

“TypeScript backend/full-stack engineer who owned an internal business workflow platform end-to-end in production, including API/data design, relational DB integration, and enterprise integrations. Has hands-on experience operating workflow processing services with Kafka-style event-driven patterns, idempotency, exponential backoff retries, dead-letter queues, and strong observability, plus API design with OpenAPI/Swagger and token-based auth.”

“Built and shipped production LLM agents including an AI patient appointment assistant for Kyron Medical that automated specialist matching and end-to-end booking with email/SMS confirmations and a voice mode. Strong focus on production reliability (double-booking prevention with DB constraints and pre-write checks), deterministic multi-step orchestration with LangGraph, and rigorous monitoring/evaluation using LangSmith trace replay for prompt regression testing.”

Medi Val

Screened

Executive technology leader specializing in AI, digital strategy, and business transformation

Toronto, Canada25y exp

“Candidate reports being highly familiar with the venture capital and accelerator landscape, citing past experience working with VC-related environments at WINR Games and BioSymetrics. The interview ended early when the candidate withdrew their application, so detail is limited.”

“Full-stack engineer with hands-on experience building real-time operational products across banking, insurance, and startup e-commerce environments. They’ve owned features end-to-end—from React/TypeScript dashboards and Redux performance tuning to Spring Boot, Kafka, AWS Lambda, and production monitoring—and have also shipped 0→1 capabilities where business impact was immediate, such as reducing overselling through inventory visibility.”

Lokesh Jain

Screened

Senior AI/ML Engineer specializing in supply chain and healthcare systems

Bentonville, AR6y exp

“Built and deployed AcademiQ Ai, a production LLM-based teaching assistant using GPT/BERT with RAG (LangChain + Pinecone) to handle large student notes and generate adaptive explanations/quizzes. Demonstrated measurable retrieval-quality gains (18% precision improvement, 22% less irrelevant context) by tuning similarity thresholds and chunking based on user satisfaction signals. Also orchestrated terabyte-scale, real-time demand forecasting pipelines using Airflow and Kubeflow on GCP with strong monitoring, shadow deployment, and feedback-loop practices.”

Amit Verma

Screened

Mid-level Java Full-Stack Engineer specializing in healthcare and enterprise microservices

Birmingham, AL6y exp

“Developer who actively integrates AI tools like Copilot, ChatGPT, and Cursor into day-to-day coding, testing, debugging, and framework learning to improve delivery speed. They also organize multi-agent workflows across code generation, review, testing, and documentation while retaining final ownership of quality and architecture decisions.”

“Built both a React/Supabase kanban product and CodeVoyage, a multi-agent platform for navigating large TypeScript/Node.js codebases. Stands out for being unusually rigorous about AI-assisted development: they quantify AI usage, manually verify generated code, and have firsthand experience debugging failures in persistence layers, retrieval quality, and long-context agent orchestration.”

“Graduate student who has built both full-stack web products and an offline Android AI assistant for visually impaired users. Particularly interesting for roles spanning product engineering and applied AI, with hands-on experience in on-device ML, privacy-sensitive deployment, and making complex AI interactions usable for non-technical users.”

“Full-stack engineer with hands-on experience spanning React/TypeScript frontend architecture, .NET/Entity Framework backend services, and database optimization. Has owned end-to-end features like payment processing flows and also helped ship a 0→1 AI developer productivity capability, showing a mix of product sense, startup speed, and practical performance engineering.”

Ahmed Khalafalla

Screened

Entry-level Software Engineer specializing in full-stack and backend development

Boston, MA1y exp

“Frontend/full-stack web developer with hands-on experience building browser-based applications including a social-style platform and a banking web app. Stands out for practical performance optimization work—separating frontend/backend architecture, designing APIs, reducing unnecessary rendering, and improving UI clarity through iterative user testing.”

Faisal Vora

Screened

Senior Software Engineer specializing in medical imaging and healthcare AI

Centreville, VA3y exp

“Early engineer at a 13-person pre-seed medical imaging startup who helped professionalize engineering practices and personally drove the software side of an FDA approval after stepping into a leadership gap. Also built a 3D MRI viewer and integrated AI-based tumor detection for clinician users, combining regulatory, backend, and frontend execution in a highly constrained startup environment.”

“Full-stack engineer who has owned an operations/reporting dashboard end-to-end, spanning React/TypeScript frontend architecture, ASP.NET Core APIs, and SQL data access. Stands out for combining strong UI performance optimization with pragmatic backend decisions, post-launch monitoring, and 0→1 startup platform building that improved API speed by 35% while supporting 2,000+ transactions per hour.”

Kuwarpreet Singh

Screened

Junior ML and Full-Stack Engineer specializing in AI/ML applications

Buffalo, NY3y exp

“Master's-trained candidate with an AI/ML specialization who combines hands-on machine learning project work with practical AI-assisted software development. They actively use Claude, ChatGPT, and Claude Code for debugging, API integration, multi-file refactoring, and end-to-end feature scaffolding, while emphasizing validation against official docs before shipping.”

“Backend/full-stack engineer who has owned production retail and order/inventory systems end-to-end, using Spring Boot microservices with Kafka event-driven workflows. Strong in production correctness patterns (idempotency, retries/DLQs, schema versioning) plus observability (Prometheus/Grafana) and developer-facing API design (Swagger, OAuth2/JWT, versioning/deprecation). Also built TypeScript/React SPAs and cited ~40% UI performance improvement.”

Subhash Nair

Screened

Senior Talent Acquisition Specialist specializing in IT recruiting and AI-assisted sourcing

Dallas, TX15y exp

“Recruiting operations lead with 6 years supporting Capgemini/Capco-style client hiring, owning end-to-end workflows in Greenhouse. Implemented a technical pre-screen coding round and integrated HackerRank with the ATS to dramatically increase interview throughput and improve candidate quality, contributing to high-volume placements for Freddie Mac and closing a 20-role surge across BA/PM and engineering roles.”

Daniel Dickson

Screened

Executive engineering leader specializing in SaaS, AI/LLM systems, and startup growth

Portland, OR16y exp

“Experienced CTO with a track record of taking three companies to successful exits, including one merger with eBay. Has worked extensively across venture capital, startup studio, and accelerator environments, with core responsibility for leading software development and infrastructure in high-growth settings.”