Vetted AI & Machine Learning Professionals in the Greater Denver

Saksham Khatwani

Screened

Mid-level Software Engineer specializing in NLP and search systems

Aurora, United States3y exp

“Built an AI journaling app at HackCU 2025 featuring a speaking AI avatar with long-term memory via RAG (ChromaDB) and low-latency microservices coordinated through Kafka, including deployment under AMD/non-CUDA constraints using a quantized Llama 8B model. Also has Goldman Sachs experience deploying a Trade UI on Kubernetes with CI/CD rollback automation, plus a healthcare AI internship at CU Anschutz collaborating closely with physicians on diagnostic reasoning and dataset annotation.”

“AI/full-stack builder with a track record of shipping practical LLM products in both hackathon and professional settings. Built ScoutR, an agentic football scouting platform that won Best Use of Gemini at HackCU 2026, and at Merkle shipped a GPT-4-based review-tagging tool that cut analyst tagging time by 90%.”

“AI engineer who shipped a production KYC facial liveness/recognition pipeline (10k+ monthly verifications), including an on-prem, GPU-hosted Qwen3-VL vision-language fallback to detect spoofing/replay attacks. Also helped build a deterministic multi-agent orchestration layer powering a marketplace with Solana on-chain payments, abstracting blockchain complexity behind an API, and has experience translating real-world needs from non-technical stakeholders (construction) into practical document-reading solutions.”

“Product/BA-oriented builder who combines AI tools, lightweight web delivery, and workflow design to turn ambiguous needs into usable solutions. Has experience spanning GitHub content intelligence dashboards, AI-agent customer training prototypes, federal healthcare cloud onboarding at the VA, and modernization of a black-box MS Access process into a transparent online workflow for the Millennium Challenge Corporation.”

Yashwant Gandham

Screened

Junior Machine Learning & Backend Engineer specializing in LLM systems and ML infrastructure

Boulder, CO1y exp

“Built and deployed production RAG-based document search/Q&A systems (DocChat and an internship marketing RAG), using a React + FastAPI stack on GCP with docs stored in GCP buckets and retrieval via embeddings/vector DB. Emphasizes cost/performance tradeoffs (reported ~40% cost reduction) and ships via Docker (Railway), with load/API testing using JMeter and Swagger; regularly collaborates with a CEO stakeholder to iterate and push changes to production.”