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Vetted Java Professionals
Pre-screened and vetted.
Jiyang Wu
Junior Software Engineer specializing in cloud microservices and database systems
“Grad student who co-developed a safety-oriented mental health LLM consulting agent using RAG + Gemini and Hugging Face emotion detection to assess user crisis level and adapt responses. Implemented a key reliability improvement for CRISIS scenarios by bypassing generative output and returning direct, emotionless, knowledge-base guidance to seek immediate real-world help.”
Arjun Masadi
Mid-level Full-Stack Developer specializing in cloud-native FinTech and Healthcare platforms
“Full-stack engineer (3+ years) who owned an AI-powered customer financial health dashboard end-to-end at Regions Bank, combining React/Java Spring Boot with LangChain + Pinecone for personalized insights. Strong production operations experience on AWS EKS with CI/CD and observability (OpenTelemetry/Prometheus/Grafana), delivering measurable outcomes including 22% support reduction and 99.9% uptime, plus robust third-party financial/clinical integrations.”
Ashank Dsouza
Mid-level Full-Stack Developer specializing in Node.js/React and cloud DevOps
“Software engineer with startup and capstone experience who improved an ~8-hour database refresh workflow by moving API calls to asynchronous execution and then addressing API rate limits via throttling. Emphasizes performance profiling/logging, strong developer onboarding documentation practices, and disciplined Agile/Jira bug triage and expectation-setting with stakeholders.”
Cristian Vega
Senior AI/ML Engineer specializing in Generative AI and RAG
“ML/NLP practitioner at Morf Health focused on unifying fragmented healthcare data by linking structured patient/encounter records with unstructured clinical notes. Has hands-on experience with transformer embeddings, vector databases, and domain fine-tuning, plus rigorous evaluation (precision/recall) and human-in-the-loop validation with clinical SMEs to make pipelines production-grade.”
Lenny Lin
Mid-Level Full-Stack Software Engineer specializing in cloud, distributed systems, and LLM apps
“Built and owned a hackathon project (Gritto) with a Python/FastAPI backend that routes user text through a sequence of Gemini agents to produce structured JSON outputs. Has hands-on production deployment experience using Docker/Docker Compose, GitHub Actions CI/CD, AWS App Runner, MongoDB, and secrets management (Doppler + migration to AWS Secrets Manager), plus implemented a chat-like experience via multiple HTTP requests when SSE wasn’t viable.”
Fnu Pallavi Sharma
Intern Data Scientist specializing in ML, NLP, and MLOps for healthcare and enterprise AI
“Built a production multi-cloud LLM-driven IT ticket automation system using LangGraph, Azure + Pinecone RAG, and an Ollama-hosted LLM on AWS, with Terraform-managed infra and PostgreSQL audit/state tracking for reliability. Also partnered with UW School of Medicine & Public Health students to deliver a glioma survival risk-ranking model, translating clinical feedback into practical pipeline improvements (imputation, site harmonization) and stakeholder-friendly visualizations.”
Wright Beisel
Mid-level Software Engineer specializing in reliability, automation, and energy systems
“Customer-facing technical professional with experience at GE Vernova diagnosing turbine performance issues and translating vague "use AI" requests into concrete software/configuration changes. Brings a data-driven approach to LLM workflow troubleshooting (data quality + performance monitoring) and has led tailored technical workshops/demos using audience research and backup learning modules, with a strong focus on driving product adoption through usability and usage-data feedback loops.”
Ashley Borges
Senior Solutions Engineer specializing in mobile SDK integrations and AdTech
“Customer-facing technical professional with hands-on ad tech experience enabling a non-SDK header-bidding integration by analyzing APIs/SDK behavior, documenting end-to-end requirements, and guiding the customer through release. Strong at tailoring technical demos for mixed executive/engineering audiences and partnering with sales on metrics-driven launches and beta rollouts. No direct on-the-job LLM/agentic systems experience yet, but interested in moving into that space.”
Ishwari Kulkarni
Intern IT & Data Analytics professional specializing in automation, cloud operations, and dashboards
“AppSec-focused engineer with experience spanning Accenture and a digital operations support internship, emphasizing secure SDLC and CI/CD security automation (SAST/DAST/SCA). Has hands-on troubleshooting experience using logs/metrics/APM traces (e.g., resolving DAST timeouts caused by rate limiting) and designs AWS/Kubernetes scanning integrations with least-privilege IAM, private networking, secrets management, and observability.”
Kalyan Reddy
Mid-level QA Engineer specializing in manual, mobile, and API testing
“QA automation engineer who owned end-to-end test automation for a web-based enterprise application, building and scaling suites in Selenium/Java/TestNG and Cypress/JavaScript. Strong in CI/CD integration with PR gating and actionable reporting, and has prevented high-severity auth/session regressions by catching role-based login/token issues early via automated CI runs.”
Hsi-Chun Wang
Mid-level Data Scientist specializing in LLM development and scalable ML pipelines
“Built and deployed production LLM pipelines for evidence-based scoring in two domains: biomedical literature mining (scoring ~2700 drug compounds vs gene targets/mechanisms) and long-horizon news analytics (35 years of Chinese articles). Emphasizes reliability at scale (retries/checkpointing/validation), rigorous empirical model benchmarking (GPT-4o/mini/5), and translating results into stakeholder-friendly visual narratives.”
Vikram Kini
Mid-Level Full-Stack Engineer specializing in React, TypeScript, and microservices
“Built and productionized an AI agent-based in-app assistant at ISAFE to guide users through document workflows, piloting with a partner school district and then rolling out across districts. Combines hands-on LLM/agent debugging (logs, fallback rates, state/context tracking) with strong technical demos and sales enablement through live workflows and pilot programs (e.g., Osceola School District).”
Akshay Danthi
Senior AI Engineer specializing in production GenAI systems
“AI engineer who has shipped production LLM systems end-to-end, including a natural-language-to-SQL analytics copilot for career advisors that achieved ~95% query success through schema grounding, access controls, and automated regression testing with golden queries. Also builds LangGraph-orchestrated multi-step agents (resume analysis, recommendations) and RAG pipelines (PDF ingestion + FAISS) and partners closely with non-technical users to drive adoption and trust.”
Dylan Zhu
Mid-level Machine Learning Engineer specializing in computer vision and generative AI
“Built and deployed an LLM/RAG system that uses differential privacy and distributional similarity checks to transform private data into a non-sensitive knowledge base while preserving utility. Also has experience demonstrating adversarial ML concepts (FGSM) to non-technical audiences by focusing on observable model behavior rather than implementation details.”
Ananya Dandi
Junior Machine Learning Researcher specializing in knowledge distillation
“Built and shipped LLM-powered agents including a production RAG research assistant that cut research lookup time from ~20 minutes to ~10–20 seconds using caching, retrieval thresholds, and citation-enforced grounded answers. Also designed multi-step, tool-calling workflows with stateful critique/revision loops and pragmatic monitoring (retry/schema-failure/low-confidence signals) plus normalization/validation layers for messy notes/spreadsheet-style data.”
Arkadiy Norkin
Director-level program leader specializing in digital transformation and Agile delivery
“Founded the Advanced Technology Team at XPO Logistics, a Fortune 500 transportation and logistics company, and worked closely with the investment team on technology demos and presentations. Especially motivated by zero-to-one company building, with a clear framework for assessing new ideas through differentiation and fast validation.”
Phillip Lisovicz
Director-level engineering leader specializing in e-commerce platforms and operational systems
“Builder-minded founder who co-started Renew-IQ, an insurtech company that landed successful pilots with major insurance brokerages and wholesalers without raising capital. Demonstrated practical enterprise product judgment by overcoming adoption challenges through integration with required compliant systems, improving user satisfaction, communication, and efficiency.”
Priyanshi Sharma
Mid-level Software Engineer specializing in FinTech full-stack and backend systems
“Built and productionized a GenAI prompt-engineering solution to retrieve prevailing wages based on job/location selections, emphasizing accuracy through stricter prompt templates and validation. Hands-on in real-time production debugging using Splunk (callback tracing, verbose logging, header inspection) and experienced running developer-facing demos/workshops that helped drive marketplace API adoption.”
Mikeal Day
Executive Engineering Leader specializing in SaaS, FinTech, and AI
“Startup-oriented product/technology leader targeting CTO roles, with experience evaluating and scoping high-impact product expansions. At Crelate, helped assess and shape a contract timekeeping/invoicing initiative that expanded TAM by hundreds of millions and increased ACV 2-3x, contributing to successful market traction and the company’s path to Series C.”
Subash Yadav
Senior Full-Stack Java Engineer specializing in cloud-native microservices
“Backend engineer with experience at Visa and Ansel, owning cloud-native, event-driven microservices end-to-end in high-volume and business-critical environments. Stands out for combining scalable Java/Spring/Kafka architecture with strong production rigor, incident ownership, and a pragmatic approach to AI workflow integration that emphasizes guardrails over blind model trust.”
Gnaneswar Markat
Mid-level Software Engineer specializing in cloud-native distributed systems
“Full-stack engineer with Bank of America experience building and owning a customer portfolio dashboard end-to-end, from requirements through launch and ongoing iteration. They combine React/Spring Boot/PostgreSQL implementation with strong performance tuning, real-time data handling, and UX improvements, and cite adoption by roughly 12,000 active internal users.”
Pavan Punna
Mid-level AI/ML Engineer specializing in LLMs, MLOps, and healthcare-fintech AI
“Built and owned a production GPT-4 RAG assistant for clinical and enterprise query resolution, taking it from initial experiment to deployment, monitoring, and iterative improvement. Their work cut resolution time from 45 minutes to under 2 minutes, achieved roughly 95% accuracy, and scaled to thousands of additional monthly queries while emphasizing safety and trust in a sensitive clinical domain.”
Ponaganti Sanjana
Mid-level AI/ML Engineer specializing in NLP, MLOps, and FinTech
“ML/AI engineer with production experience at S&P Global and Accenture, focused on regulated, enterprise-grade systems. Built end-to-end financial risk and credit default models with >90% precision and 12% fewer false positives, and is currently developing secure RAG pipelines on AWS SageMaker for enterprise insight extraction.”
Sujeeth Rajkumar
Mid-level Generative AI Engineer specializing in LLMs and enterprise AI
“Built and owned an enterprise LLM/RAG document intelligence platform for PNC Financial Services in a compliance-heavy environment, focused on grounded answers over internal finance and policy documents. Stands out for combining GenAI product delivery with production engineering discipline, delivering 60% faster document review and materially better answer quality while creating reusable FastAPI-based AI services for multiple teams.”