Vetted Software Engineers in California

“Backend engineer with experience modernizing a large-scale procurement platform at Jio Platforms by breaking a monolith serving 35 business units into Spring Boot microservices, improving uptime and cutting report latency ~30%. Also built high-concurrency FastAPI systems (200ms at ~500 concurrent users) with strong security (JWT/OAuth2/RBAC), event-driven Kafka integrations, and reliability patterns like exactly-once delivery for ~1M monthly triggers.”

“Startup builder (MagicSeven) who designed and implemented a browser-based, agentic video editor end-to-end, including an AWS event-driven multimodal LLM “indexing” pipeline and an orchestration LLM agent for searching and manipulating footage. Demonstrates deep video file/codec knowledge plus practical production hardening of LLM workflows (format validation, plan/execute, S3-based state for debuggability).”

Jayadeep Nukala

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in enterprise AI and FinTech integrations

San Francisco Bay Area, CA2y exp

“Built and deployed an enterprise AI testing solution at a startup, then customized and scaled it inside Citigroup over the course of a year to support 40+ projects and 1,000+ daily users. Brings hands-on production experience with multi-agent LLM workflows, RAG, enterprise deployment infrastructure, and real-world incident handling in AI-driven data pipelines.”

John Juszczak

Screened

Senior Software Engineer specializing in C++ tooling, CI/CD, and Unreal Engine pipelines

Los Angeles, CA10y exp

“Gameplay programmer with hands-on Unreal Engine multiplayer shooter experience, notably overhauling aiming/ADS using Enhanced Input and curve-table-driven response curves plus subtle aim assist. Demonstrates strong networking judgment (client-side prediction vs server authority for anti-cheat) and a systems mindset, adding automation/analytics to speed iteration and improve decision-making.”

“Built a production LLM-powered fraud detection platform at Wells Fargo, combining OpenAI/Hugging Face models with RAG-based explanations to make flagged transactions interpretable for risk and compliance teams. Delivered low-latency, real-time inference at high scale on AWS (SageMaker + EKS), with strong observability and security controls, reducing manual reviews and false positives in a regulated environment.”

suparshwa patil

Screened ReferencesStrong rec.

Mid-level Software Engineer specializing in AI platforms and full-stack systems

Santa Clara, CA4y exp

“Built and shipped a production AI-powered Q&A/RAG onboarding assistant at One Community Global that unified knowledge across Notion, Google Docs, and Slack, cutting volunteer onboarding time by 45%. Demonstrates strong end-to-end ownership: LangChain agent orchestration integrated into a FastAPI backend, rigorous evaluation (200-query dataset, ~85% accuracy), and production feedback/monitoring with source-attributed answers to build user trust.”

“Cloud-native integration engineer (Oracle/OCI) with strong production deployment and incident-response experience, including API gateway rollouts, observability (Prometheus/Grafana), and multi-layer debugging for payments systems. Built Python/FastAPI microservices and automation for customer-specific reporting and data sync, and has delivered major performance gains (45 min to <10) plus reliability improvements (MTTD reduced 40%+) through monitoring, playbooks, and resilient integration patterns (streaming/queuing, retries, secure tokens, VPC peering).”

“Built and deployed a production LLM system that scraped Google Maps menu photos, extracted structured prices via OpenAI, and cross-validated them against website-scraped data to automate data-quality verification at scale (replacing costly manual contractor checks). Demonstrates strong reliability instincts—precision-first prompting, output gating with image-quality metadata, and fuzzy matching/RAG techniques—plus solid orchestration (Dagster/Airflow) and observability (Sentry, Prometheus/Grafana).”

“Full-stack engineer with strong production ownership across SDK tooling, APIs, and operations. At Statsig, built real-time SDK diagnostics spanning 16 SDKs and improved incident response (40% faster mitigation) with Datadog SLOs/alerting; also shipped an enterprise Console API + interactive OpenAPI-based docs with robust versioning/migration practices. Has early-stage startup experience at Layup Parts, translating AS-9100 compliance needs into production workflows under rapidly changing requirements.”

“Software engineer with experience across TCS, Rakuten, and USC who has owned production integrations and data pipelines end-to-end. Notably improved a trading platform payment flow by replacing fragile polling with a webhook-driven status system with robust fallbacks, and has shipped LLM-assisted design-to-webpage automation plus evaluation-driven prompt iteration (NYT Connections).”

Edward Yu

Screened

Senior Software Engineer specializing in FinTech, payments, and authentication

Sunnyvale, CA8y exp

“Software engineer with experience at Dollar Shave Club and Mudflap, focused on user-driven product delivery and cross-team alignment. Built an Okta SSO-based internal portal (React/Node) centralizing access to org services, and has hands-on experience diagnosing LLM/agent workflow issues via instrumentation and systematic triage. Known for translating between product/customer needs and engineering tradeoffs to ship quickly while planning stabilization and scalability.”

Akshay Danthi

Screened

Senior AI Engineer specializing in production GenAI systems

San Francisco, CA8y exp

“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.”

“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.”

“Frontend-leaning full-stack engineer who built internal product capabilities at Mercedes-Benz R&D, including a vehicle exploration platform, test drive booking flow, and a 0→1 vehicle comparison feature. Stands out for combining strong React architecture and performance optimization with practical backend/API ownership in Node/Express and MongoDB.”