Vetted Oracle Database Professionals

“Built and deployed a production RAG-based multilingual analytics assistant for healthcare operations, enabling non-technical teams to query claims/EHR and risk metrics with grounded explanations. Demonstrates strong end-to-end LLM system engineering (retrieval tuning, re-ranking, hallucination controls, verification layers) plus workflow orchestration (Airflow/Composer/Step Functions) and stakeholder-driven iteration via prototypes and dashboards.”

“LLM/agent systems builder who deployed a production hybrid router for immerso.ai that dynamically selects retrieval vs reasoning vs generative pathways, achieving an 82% factual-accuracy lift. Deep hands-on experience optimizing local Mistral 7B inference (4–5 bit GGUF quantization, KV-cache reuse) and building reliable RAG/agent workflows with LangChain/LangGraph/AutoGen across GCP Cloud Run and AWS (ECS/Lambda).”

Binaya Sharma

Screened

Senior Software Engineer specializing in full-stack systems, big data, and applied AI

Baton Rouge, LA6y exp

“Built and deployed ForensicLLM, a local domain-specific LLaMA-3.1-8B model for digital forensic investigators using RAFT + RAG over 1000+ curated research papers, with citation-aware responses and rigorous evaluation (BERTScore/G-Eval). Deployed via vLLM and Docker and validated through a chatbot survey with 80+ participants; published at DFRWS EU 2025.”

Shuchi Shah

Screened

Senior Software Engineer specializing in Backend Systems and Generative AI (RAG)

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.”

Avanishika Revelli

Screened

Junior Software Engineer specializing in backend, cloud, and robotics automation

2y exp

“Graduate Research Assistant in Robotics at Arizona State University who built an end-to-end LLM-driven task execution framework enabling collaborative robots to convert high-level natural language instructions into safe, executable ROS actions. Implemented robust monitoring, failure detection, and automatic replanning, and addressed real-world issues like timestamp/frame-transform mismatches and heterogeneous robot interoperability using adapter nodes.”

“Built and deployed a "personal second brain" product (CloneMind) with an end-to-end RAG pipeline for retrieving information across PDFs, URLs, images, and audio using Next.js/Node.js/Postgres/Supabase/Redis. Demonstrates strong practical depth in retrieval quality tuning, latency reduction via caching, and stateful orchestration with LangChain/LangGraph, plus experience persuading a non-technical professor stakeholder by shipping a working prototype.”

“Software engineer with hands-on production experience deploying Spring Boot services to AWS using Docker and Jenkins CI/CD, focused on stable releases, easy rollback, and performance improvements through monitoring/logging and query optimization. Has proven cross-layer troubleshooting skills (identified packet loss causing intermittent timeouts via network traces) and experience collaborating on-site with operators in industrial/IoT-style environments, including working alongside robotics/PLC teams.”

“Procurement/sourcing professional at Brightmark owning end-to-end CAPEX sourcing for uptime-critical plant components, from RFQs and vendor onboarding through production tracking and delivery. Demonstrated measurable savings (10–12%), mitigated supplier credit and trade/duty risks (Incoterms/HS code/COO), and improved AP/vendor relationships by fixing PO/invoice scope and documentation issues using SAP, Asana, and eMaint.”

“Built and productionized an LLM-powered customer support system using a RAG architecture with structured document ingestion, embedding retrieval, and prompt templates for product-specific grounding. Experienced diagnosing live agent/workflow failures (e.g., retrieval regressions after new docs) by refactoring ingestion/chunking and adding grounding constraints plus evaluation benchmarks. Also supports go-to-market by joining discovery calls, shaping MVP workflows into demos/prototypes, and creating post-launch documentation to drive adoption.”

“Built and shipped a production LLM-powered incident response agent for a microservices platform, automating alert triage and safe remediation recommendations with strong guardrails (RAG grounding, structured JSON outputs, rule-based validation, and human-in-the-loop). Implemented state-machine orchestration (Redis/Kafka), comprehensive eval/monitoring, and an error categorization pipeline that cut hallucination errors ~40% and reduced MTTR ~30%.”

Ramadhantya Arumbinang

Screened

Senior IT Support & Data Operations Specialist specializing in AI/LLM data labeling

Surakarta, Indonesia9y exp

“Console game testing experience focused on controller/input responsiveness (e.g., passing/shooting delays) with bug documentation shared to developers via notes/Excel. Also worked as an AI data tagging agent for an e-commerce LLM and built a Python + OpenAI API micro-tool to pre-label queries, improving labeling throughput by ~30% with a human-in-the-loop QA process.”

Sviatoslav Boichuk

Screened

Executive CTO / Engineering Leader specializing in Full-Stack Architecture and Cloud Delivery

Ivano-Frankivsk region, Ukraine11y exp

“Founder building a hiring-focused startup who has engaged with venture investors but is prioritizing direct end-user traction through email marketing and other outreach before returning to raise a seed round. Has experience working with startups that have already raised seed funding and demonstrates a structured approach to market validation (customer conversations, landing pages) prior to heavy development.”

Vinicius Leite

Screened

Staff/Lead Game Engineer specializing in gameplay systems and VR

Los Angeles, USA22y exp

“Unity gameplay programmer with hands-on multiplayer networking experience (Photon Fusion, Mirror, SmartFox, Unity networking), including client-side prediction and rollback to smooth networked movement under lag/packet loss. Recently improved a fast-paced 2D platformer’s feel by adding momentum/velocity “gears,” validated through internal cohorts and volunteer/friends-and-family playtests. Comfortable in both startup and large-company environments and currently seeking a high-impact, intensive project.”

Fernando de Cea Cotta

Screened

Senior Game Developer specializing in Unity and XR (AR/VR)

Spain9y exp

“Unity/C# developer with hands-on experience delivering performance-critical systems: built a multithreaded Addressables-based asset loading pipeline to handle thousands of animations and drastically cut loading screens. Also created a personal Unity Editor tool using the OpenAI API to detect code smells and generate prioritized remediation, and has shipped authoritative-server multiplayer for an arcade car game with prediction/interpolation, reconciliation, and robust live-network debugging.”

Riya Stanly

Screened

Intern Data Scientist specializing in machine learning, NLP, and LLM fine-tuning

2y exp

“Built a production-style AI meeting summarization and action-item extraction system (Azure Speech-to-Text + transformer summarization/NER) exposed via a Flask REST API, with explicit guardrails to prevent hallucinated tasks. Strong focus on reliability: modular agent/workflow design, precision-first evaluation with human-validated golden notes, and practical orchestration patterns (tool-augmented agents; ready to scale into Airflow/LangGraph/Prefect).”

Charmi Dharmendrakumar Parmar

Screened

Mid-Level Software Engineer specializing in full-stack and cloud-native systems

Alpharetta, GA4y exp

“Backend/full-stack engineer who owned a cloud-native, AWS-based microservices backend for an HRIS product used by ~10,000 users, including onboarding and workflow orchestration. Strong production focus on event-driven architecture, idempotency/retries, observability, and developer-friendly API design (OpenAPI, versioning, JWT), plus hands-on Selenium automation for resilient checkout-style flows.”

“Experienced technology executive and consultant who has founded multiple companies and currently runs an IT consulting business providing fractional CIO/CTO services. Brings hands-on experience with VC-backed firms, startups, and rebuilding IT functions for acquired businesses, with a strong emphasis on ethical leadership and helping non-technical companies understand and leverage technology.”