Vetted Spring Boot Professionals

Žarko Petrović

Screened ReferencesModerate rec.

Director-level Unity Engineer specializing in multiplayer, WebGL/WebGPU, and XR

Stockholm, Sweden15y exp

“Lead Unity engineer who shipped a Meta Quest VR free-to-play poker title, tackling hand-tracking controls, physics-driven chip interactions, and large-room multiplayer with anti-cheat needs. Also independently built a mobile real-time multiplayer racing game through beta, including backend, progression, on-demand track delivery, and a custom car physics engine.”

Mudit Devenkumar Choksi

Screened ReferencesModerate rec.

Junior Full-Stack Software Engineer specializing in web apps, automation, and cloud systems

Louisville, KY2y exp

“Engineer with hands-on experience owning end-to-end industrial automation deployments and real-time data systems. Most notably led a multi-million dollar warehouse automation implementation that reduced manual intervention by 25%, while also building streaming text analytics pipelines and strengthening production reliability through robust observability and pipeline controls.”

“Backend engineer who rebuilt and refactored high-traffic systems at Phenom using Java/Spring Boot/Play and also designs Python/FastAPI services. Focused on measurable reliability and performance gains through DB/query optimization, async processing, and strong observability, with disciplined rollout practices (feature flags, parallel runs, rollback) and security patterns including token auth and row-level security.”

“Built and productionized an LLM-enhanced version of the WeDAA platform to auto-generate microservice architecture diagrams and support code generation from user prompts, including a practical solution for non-overlapping canvas object placement via coordinate templates. Experienced in diagnosing agentic workflow failures using AWS Strands agents with feature-flagged debug logging, and frequently supports sales through tailored demos and POCs to drive adoption.”

“Software engineer who deployed and stabilized a real-time analytics platform at Senecio Software, focusing on production reliability, observability, and performance under load. Experienced debugging issues spanning distributed services and networking (e.g., tracing timeouts to packet loss from misconfiguration) and extending Python (FastAPI/Django) APIs for customer-specific analytics features in a configurable, maintainable way.”

“Full-stack engineer at an early-stage EdTech startup building an AI-tutoring product; owns most of a Django REST backend, CI/CD, and key customer-facing features like FERPA-compliant auth, subscription payments, and real-time LaTeX input/rendering. Also built a /rPlace-style real-time multiplayer canvas (PolyPlace) using microservices, WebSockets, and event sourcing, with performance-focused client rendering (zoom/pan/viewport-based updates) and stress testing.”

“Full-stack/product-leaning engineer in logistics and high-traffic portals who ships production AI features: built an AI-assisted shipment status Q&A system using Pinecone + GPT-4 and a high-volume Python ingestion pipeline (500K+ records/day), delivering 35% fewer support tickets and cutting resolution time from 11 to 4 minutes. Also led a legacy Angular-to-React/TypeScript rebuild that boosted Lighthouse performance from 60 to 90, and has hands-on AWS EKS operations experience including resolving a 3x traffic scaling incident.”

“Backend Java developer who built an end-to-end upcoming payments feature: Spring Boot/Hibernate microservices with MySQL query/index optimization and Kafka event publishing, plus a web UI timeline component enabling users to view, skip, and edit scheduled payments with clear status indicators.”

“Software engineer with enterprise CPQ/CRM/ERP integration experience (Argano) who owned an end-to-end pricing preview capability deployed on AWS Kubernetes with Jenkins CI/CD and full observability (Prometheus/Grafana). Also built an AI-native research agent using LangChain + Chroma to filter academic papers, reporting ~15 hours/week saved for a professor.”

“Full-stack engineer who has delivered production customer analytics/dashboard features using Next.js App Router + TypeScript on the frontend and Java Spring Boot microservices on the backend. Demonstrates strong production ownership (monitoring latency/error rates/adoption) plus hands-on performance work across React rendering and Postgres query/index optimization, and has implemented Temporal-like durable workflows with retries and idempotency.”

“Built and deployed a production RAG-based clinical decision support assistant at MedLib, focused on fast, trustworthy answers from large medical documents. Demonstrates deep practical experience improving retrieval accuracy (semantic chunking + metadata-aware search), controlling hallucinations with grounded generation and thresholds, and adding clinician-requested citations using chunk metadata, with evaluation driven by healthcare professional review.”

Sneha Sridhar

Screened

Mid-level Software Engineer specializing in cloud-native backend and distributed systems

Remote, USA4y exp

“Backend/full-stack engineer with experience building customer-facing contact-center automation (agent assignment) and internal editorial/data operations APIs for life-sciences ontology management. Strong in microservices and event-driven systems (Spring Boot + Kafka), third-party integrations (Genesys/Five9), and pragmatic iteration via MVP scoping, tight stakeholder demos, and observability-focused reliability.”

Gautam Agrawal

Screened

Mid-Level Software Engineer specializing in backend systems, cloud, and applied LLM/NLP

IN, USA4y exp

“Applied LLMs to classify long nonprofit mission statements into 8 segments without labeled data, using an ensemble of clustering/embedding methods plus zero-shot RoBERTa/BART and a Tree-of-Thought prompting pipeline with LLM-as-judge evaluation (Gemma). Also built LangChain/LlamaIndex agentic RAG workflows including a text-to-SQL data analysis assistant grounded on DB schema with retries and performance optimizations on an HPC cluster.”

“Backend engineer who built a production retrieval-augmented narrative analysis platform for 100-page screenplays using a Node/Express orchestrator and a Python/FastAPI AI engine, including a key redesign from disk-based uploads to in-memory streaming to eliminate Windows file-lock failures. Also led a refactor of a municipal vehicle tracking system into a C-based distributed engine handling 4M+ daily packets with 99.99% data integrity and automation that reduced manual ops by 50%.”

Venkatasai Vorsu

Screened

Mid-level Full-Stack Software Engineer specializing in Java microservices and cloud platforms

Houston, TX5y exp

“Full-stack engineer with strong React/TypeScript and Spring Boot experience in banking and financial systems, focused on real-time transaction monitoring and payment tracking products. Stands out for scaling high-volume dashboards, solving rendering bottlenecks in live data UIs, and owning features end-to-end from frontend through APIs, Oracle data layer, cloud deployment, and production monitoring.”

Yatin Rajkumar Kalra

Screened

Senior Full-Stack Engineer specializing in cloud-native AI and Healthcare IT

Remote6y exp

“Built AIO, a 7-agent system that automatically fixes failed GitLab CI/CD pipelines in under 60 seconds using Redis queues, typed TypeScript contracts, and strong observability. Heavy AI user who still applies rigorous human review for logic, security, scalability, and code quality, and has made deliberate architectural choices rather than relying blindly on frameworks.”

Ratinder Joshi

Screened

Intern Full-Stack Software Engineer specializing in AI and SaaS platforms

Remote1y exp

“Built Syntriq, an AI-assisted deviation investigation platform for pharmaceutical manufacturers, owning the full stack from a 13-stage Python/FastAPI AI pipeline to a React report editor with source traceability. Stands out for combining strong technical execution with deep user discovery in a highly regulated FDA-sensitive domain, and for making pragmatic product decisions based on real QA investigator workflows.”

“Engineering leader in the railroad industry who has grown from hands-on software engineering into leading four development teams across mission-critical products, while staying deeply involved in architecture and modernization. Particularly strong in transforming legacy, multi-customer enterprise systems using Java/Spring Boot, React, PostgreSQL, cloud infrastructure, and CI/CD without sacrificing delivery stability.”

“Full-stack engineer with hands-on ownership of a production cart-audit workflow redesign, spanning schema redesign, Rails APIs, and frontend navigation for non-technical operations users. Particularly strong in modernizing legacy systems safely with rollback paths and clearer data relationships, while also building AI-powered side projects using Flask, LangChain, and GPT for GitHub code analysis.”

Baljinnyam Puntsagnorov

Screened

Mid-level Full-Stack AI Engineer specializing in agentic AI and FinTech systems

Bellevue, WA3y exp

“Full-stack and AI systems engineer with a strong track record in high-stakes workflow automation and payments reliability. They’ve built production LLM systems with retrieval, validation, evals, and human-in-the-loop controls, while also shipping payment infrastructure that eliminated duplicate payouts/charges and supported 8,000+ daily transactions at 99.95% uptime.”

Mohamed Risaldar Uppil Thodi

Screened

Senior Full-Stack Engineer specializing in real-time systems and backend platforms

San Francisco Bay Area, CA10y exp

“Fullstack engineer with strong experience building real-time, customer-facing products across e-commerce personalization and enterprise monitoring dashboards. Stands out for combining hands-on React/Node/GraphQL development with cloud-edge/WebRTC/WebSocket architecture, while working directly with customers to shape MVPs that achieved strong adoption.”

“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.”

“Full-stack engineer from Clairvoyant who led end-to-end delivery of a cloud-native, event-driven platform: Spring Boot microservices + Kafka real-time streams with an Angular UI, migrated and containerized on AWS, and automated CI/CD with Jenkins/Maven/Git. Demonstrates depth in distributed consistency challenges (partitioning, consumer lag/duplicates) and database performance tuning across SQL/NoSQL under heavy workloads.”