Vetted UNIX Professionals

Pranava Reddy Kothapally

Screened ReferencesStrong rec.

Junior Data Engineer specializing in Azure, CRM data pipelines, and marketing personalization

Hyderabad, India2y exp

“LLM/AI engineer who has deployed production RAG conversational analytics and Text-to-SQL systems over Snowflake and curated data marts, emphasizing enterprise-grade guardrails for accuracy, security, and cost. Notable for a structured approach to reducing hallucinations (curated metric/table registry, SQL validation, RBAC, and citation-backed responses) and for building resilient, observable multi-step agent workflows using LangChain/LlamaIndex and Airflow.”

“Full-stack web engineer with experience owning major e-commerce platforms like FultonFishMarket.com and USESI.com, including logistics-heavy B2B/B2C systems at million-user scale. Also built Django-based cloud connectivity for 3D printers via OctoPrint plugins, combining device APIs, payment integrations, and AWS container deployment. Demonstrates strong performance optimization skills and the ability to lead ambiguous platform features from process discovery through stakeholder-reviewed release.”

“Talent Acquisition/Recruiting Operations leader with 22 years of experience managing large onsite/offshore teams (100+ at peak) and running VMS-driven delivery for multi-industry accounts (telecom, health insurance, retail). Has implemented ATS-based resume databases and reporting dashboards to improve turnaround time, productivity tracking, and coverage planning across multiple client/vendor relationships.”

“Backend/AI engineer who built production-grade intelligence systems in high-stakes domains including tax/legal document analysis and brain tumor MRI workflows. Stands out for combining LLM/RAG product delivery with strong engineering rigor around retrieval evaluation, grounding, validation, observability, and safe fallbacks—turning impressive demos into systems users could actually trust.”

“Built a full-stack dependency impact analysis product ('Blast Radius') that mapped runtime service relationships and reportedly reduced deployment incidents by 40%. Also developed AI evaluation and security benchmarking systems, including WebSEC Arena and a lyric-generation tool fine-tuned on 300,000 song lyrics, with academic interest strong enough to spur a research paper effort.”

“Backend-focused engineer who built an academic AI voice assistant with a Python microservice-style backend (speech recognition, spaCy-based NLP, and Kafka-driven automation) optimized to sub-500ms latency. Also has Sodexo internship experience deploying containerized services across Kubernetes/AWS ECS/Azure using ArgoCD GitOps, including solving config drift and secret-management challenges and supporting cloud-to-on-prem migrations with blue-green rollouts.”

lakhtar singh

Screened

Senior Full-Stack Developer specializing in JavaScript, cloud microservices, and scalable web apps

St. Thomas, Canada11y exp

“Frontend engineer who has led end-to-end warehouse and support tooling products, including a Raspberry Pi/Arduino-driven sorting UI that guides staff via bin LEDs. Built a React+TypeScript internal support dashboard with real-time order/shipping updates and AI-assisted ticket response suggestions (integrating models like OpenAI, Grok, Veo, and Google Gemini for image understanding), plus a voice-command workflow to create/search tickets hands-free.”

“Candidate is actively using AI-assisted development tools, including MCP server integrations with Copilot, to generate boilerplate test scripts, validate code standards, and handle package updates. They also have hands-on experience choosing different agents based on task requirements and serving as an admin for AI tool access.”

“Software/product engineer who has owned a consumer iOS dating app from customer discovery through roadmap execution, while also shipping an in-app LLM-powered support/feedback bot. Brings a mix of product sense and backend systems experience, including rebuilding a race-condition-prone event orchestration system and designing microservices to handle arbitrary black-box production data.”

Shuchi Shah

Screened

Senior Software Engineer specializing in Applied AI and FinTech

San Jose, CA12y exp

“Backend engineer with experience building an end-to-end civic tech AI platform that ingests city council meeting videos, transcribes them with Whisper, and enables natural-language Q&A via a LangChain/FAISS RAG pipeline. Demonstrated strong systems thinking by tuning retrieval for accuracy/latency/memory (cutting response time ~3s→1s and memory ~500MB→25MB) and by safely migrating an ERP from monolith toward services using dual writes, reconciliation, and idempotency to protect financial workflows.”

“Full-stack engineer with hands-on experience shipping multiple AI-powered products, including donor recommendation systems, RAG-based document Q&A, and cybersecurity threat analysis tools. Stands out for combining TypeScript/React and backend API development with practical LLM evaluation, grounding, and production optimization—driving measurable outcomes like 30% higher donor engagement and 87% answer accuracy under 2-second latency.”

Sampath Achalla

Screened

Mid-level Full-Stack Engineer specializing in Golang and cloud-native FinTech systems

USA3y exp

“Backend-leaning full-stack engineer in fintech/payments who shipped an end-to-end Stripe payments + webhook system for a financial microservices platform, emphasizing ledger accuracy via idempotency, transactional writes, retries, and DLQs. Also delivered a real-time React/TypeScript payment status dashboard informed by user interviews, and improved production performance by 35% p95 latency through PostgreSQL tuning and Redis caching on AWS.”

“Union College robotics graduate with hands-on ROS experience building an independent “waiter bot” that took spoken orders (Mozilla DeepSpeech), used OpenCV, and navigated via SLAM on a TurtleBot with LiDAR. Also led the Union College Robotics crew for four years and implemented PID control for micromouse maze robots; has additional software deployment experience with Dockerized FastAPI and CI/CD from coursework.”

Revanth P

Screened

Mid-level DevOps Engineer specializing in AWS, Azure, Kubernetes, and GenAI infrastructure

Walnut Creek, CA4y exp

“Database/platform engineer with stronger hands-on experience in AWS and Azure than GCP, but able to speak credibly about cloud database architecture, automation, and reliability engineering. They led an on-prem MySQL to RDS/DynamoDB migration, built Terraform/Python-based zero-touch database operations, and described a performance incident where latency dropped from 2s to under 300ms while supporting 2x traffic.”