Vetted SDLC Professionals

Umair Shamoon

Screened

Mid-level Full-Stack Developer specializing in MERN/MEAN and cloud-native web apps

8y exp

“Frontend engineer with end-to-end ownership of React/Next.js products, focused on scalable component-based architecture and quality via CI/CD, automated testing, and disciplined PR reviews. Built React + TypeScript dashboards with role-based views using Zustand, and improved existing codebases by decoupling components and boosting performance through code splitting, lazy loading, and standardized shared components.”

“Data/AI practitioner who built a production LLM-driven healthcare claims analytics and dashboarding system to reduce avoidable ER visits—processing 1.4M+ claims, flagging 19% as non-emergent, and projecting ~$2.8M in annual savings. Demonstrates strong real-world LLM reliability and performance engineering (grounding, numeric validation, caching, materialized views, quantization) plus orchestration experience with Airflow and Azure Data Factory.”

Thimone Noupa

Screened

Mid-level DevOps Engineer specializing in AWS, Kubernetes, and CI/CD automation

Dallas, TX7y exp

“DevOps/cloud infrastructure engineer focused on AWS automation: built GitHub Actions/Jenkins pipelines for containerized deployments with strong security controls and rollback, and implemented Terraform-based AWS provisioning with modular code and remote state/locking. Has led on-prem to AWS migration cutovers with structured risk/rollback planning and stabilization, but has not worked directly with IBM Power/AIX/LPARs or PowerHA/HACMP.”

Jaiden Kettleson

Screened ReferencesStrong rec.

Entry-Level Full-Stack & AI Engineer specializing in chatbots and web apps

1y exp

“Data Science honors graduate (Maryville University) who has built Python/SQL backends and a capstone website handling sensitive user data. Emphasizes secure data handling (password encryption, secure database updates) and uses Git/GitHub Pages with CI/CD-style practices for managing and deploying changes.”

“Data engineer who has owned end-to-end ELT pipelines on Airflow + AWS (S3/Glue/Lambda) with Snowflake/Redshift, processing millions of records per day and tens of GBs via PySpark. Built strong data quality and reliability practices (40% quality improvement, 99%+ uptime), and also designed a resilient web-scraping system with anti-bot defenses and schema-change versioning plus REST APIs for serving curated data.”

“Full-stack engineer with strong TypeScript/Firebase and MongoDB depth who has built research and student-scale systems end-to-end, including GCP data pipelines and Dockerized microservices. Particularly interesting for stepping beyond a frontend remit to build NLP models with NLTK that are actively used in an academic research project's Phase 2, showing initiative and real downstream impact.”

“Full-stack engineer with experience delivering an end-to-end NIH application using Angular and scalable .NET Core microservices backed by MySQL. Has hands-on depth in complex approval/workflow implementations (RBAC + workflow engine) and performance tuning for million-record, data-driven systems, plus 5 years with Java/Spring Boot microservices and React.”

“QA automation engineer who owned an end-to-end Selenium/Java suite redesign (POM + REST Assured + Jenkins), boosting coverage from ~30% to ~70% and shrinking regression from days to hours. Known for fast, high-signal debugging and bug reports (API traces/logs, token/session expiry evidence) and for catching high-impact issues like intermittent payment failures and authentication/session defects before production.”

ABHIGNAN YANGANGARI

Screened

Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React

Hyderabad, India1y exp

“Full-stack engineer who built a lost-and-found pet management platform (React + Node/Express + SQL) with a focus on scalability (stateless JWT auth, modular REST APIs, cloud-based image handling) and performance (Artillery load testing, Chrome DevTools, query/index tuning). Also demonstrates systems-thinking around low-latency real-time voice pipelines integrating WebSockets, ASR, LLMs, and audio output, and has experience translating founder input into shippable product via rapid prototyping.”

Nechar KC

Screened

Entry-level AI Engineer specializing in full-stack LLM applications

Hayward, CA1y exp

“Built an AI-powered lecture-to-notes web app from personal pain at university, combining Spring Boot, React, PostgreSQL, and Python AI services for transcription and summarization. Also led architecture for FishBowl, a multi-agent Shark Tank-style pitch practice tool using GPT-4o, Perplexity, and ElevenLabs that won 1st place in the AI & Entrepreneurship track at HackHayward.”