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Vetted Machine Learning Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in AI infrastructure and machine learning
Senior Full-Stack Engineer specializing in AI, cloud, and enterprise platforms
Rhutwij Tulankar
Engineering Manager and ML/Data Architect specializing in scalable data platforms and personalization
“Hands-on engineering manager at a marketing company leading a highly senior, distributed team (10 direct reports) while personally coding ~60–70% and owning end-to-end architecture across three interconnected products. Built agentic CRM automation and a reinforcement-learning-driven distribution layer for channel spend/bidding, with a strong focus on scalable design and observability (Prometheus/APM/logging) enabling frequent releases and few production incidents.”
James Prolizo
Executive Technology Leader specializing in digital, AI, cloud, and cybersecurity transformation
“CIO-level technology leader (most recently at Sovos) who owned the full tech roadmap across product, infrastructure, and corporate IT, scaling engineering across 14 countries with an architectural review board and standardized security/observability. Hands-on in high-severity incidents (ransomware) while managing executive/client communications, and drove a reported 40% product-velocity lift by adopting AI code assistants and agentic AI (Devin) alongside Kubernetes + Bottlerocket for secure scalability.”
Ashish Ernest Jeldi
Senior Data Scientist specializing in LLMs, agentic AI, and MLOps
“Built and shipped a production agentic LLM tool that helps internal teams update technical product whitepapers using plain-language edit requests, with strong guardrails (citations, verification, refusal/clarify flows) to reduce hallucinations and maintain compliance. Experienced taking LLM workflows from rapid LangChain prototypes to more predictable, debuggable LangGraph agent graphs, and orchestrating end-to-end ingestion/embedding/indexing/eval/deploy pipelines with Kubeflow.”
Vigynesh Bhatt
Mid-level Software Engineer specializing in backend, cloud, and ML systems
“Software engineer with experience across Goldman Sachs, BYU Broadcasting, Juniper Networks, and an edtech startup (Doubtnut), spanning data migrations, AWS-based media backends, and microservices observability. Built a Redis/ElastiCache caching layer in front of DynamoDB/S3 to improve media delivery latency and cost, and created an SEO indexing automation tool using the Google Search Console API that saved ~15–30 person-hours per day.”
Cheyenne Vasseli
Senior DevOps Architect specializing in cloud and platform engineering
“Senior DevOps/infrastructure leader currently owning all DevOps for Audi Digital, including audiusa.com and its supporting cloud, CDN, CI/CD, and repository ecosystem. Stands out for delivering two simultaneous enterprise-scale migrations—100+ repo GitHub migration and Apollo Router supergraph platform migration—two months early with minimal disruption, while operating deeply hands-on in Kubernetes, containers, and cloud architecture.”
Phil Lerner
Executive technology leader specializing in cybersecurity, healthcare IT, and AI
“Seasoned global CTO and executive leader with 20+ years of experience, including a $389M non-founder exit to a Fortune 10 acquirer. Now building a pre-seed AI-driven diagnostic imaging platform for pets with web and mobile products, beta customers, and a patent-pending solution aimed at saving pet lives.”
Yifei Tang
Intern Machine Learning Engineer specializing in vision-language models and robotics
“Robotics software engineer with hands-on experience building a vision-guided grasping pipeline on a 7-DOF Franka arm, implementing gradient-based IK with null-space optimization and RRT* motion planning in ROS1. Strong in sim-to-real deployment and real-world debugging—addressed frame misalignment via hand-eye calibration and centralized TF configuration, and reduced replanning/jitter by tuning a weighted pose filter using rosbag replay and variance/grasp-time metrics. Also built an ESP32-based mobile robot architecture combining embedded decision-tree control with WiFi/web high-level commands.”
Ali Rezafard
Director of Engineering specializing in cybersecurity SaaS platforms and cloud-scale backend systems
“Director of Engineering at Proofpoint for 8 years, leading architecture and integration of Java microservices within a detection platform. Demonstrates pragmatic delivery leadership—incurring short-term cost to meet launch deadlines, then systematically paying down technical debt and optimizing AWS spend—plus a disciplined, long-horizon approach to backward-compatible API/schema evolution across many dependent services.”
Dimple Joseph
Director of Engineering specializing in cloud-native SaaS, e-commerce search, and AI personalization
“Engineering leader (12+ years Director, 17 years lead) focused on developer productivity and platform/framework work across Oracle, PlayStation, Workday, and CafePress. Notable for building distributed teams from scratch and delivering high-impact platform architecture—e.g., re-architected PlayStation’s upload pipeline to support 500GB–5TB submissions using browser-to-AWS chunked uploads with SNS/SQS and deduplication/resume support.”
Alvin Fan
Mid-level Markets & Product Professional specializing in FX, analytics, and mission-driven tech
“Finance professional (Citi) blending strategic account work with hands-on analytics/automation: led Asia’s first digital banking conferences and delivered 6 institutional client acquisitions. Built self-serve dashboards/VBA tools and self-taught Python to create an ML classifier still used daily, and uncovered ~$5M in untapped annual revenue. Experienced partnering with compliance/legal and navigating sensitive regulatory information in FX markets.”
Vijay Ponnaiyan
Executive Technology Leader specializing in AI-driven digital platforms in Financial Services
“Founder/idea lead behind InvantX, an AI-powered product helping people make better decisions with their own data. Developed the business model canvas and MVP plan, set up an early customer feedback loop, and iterates roadmap/architecture based on beta-user learning. Has participated in accelerators including FinAccelerate, Pegasus, and an NVIDIA program (AWS credits), and applies a metrics-driven, structured approach to traction building.”
Yue Su
Junior AI/ML Engineer specializing in LLM agents, RAG, and distributed systems
“Python backend engineer focused on high-throughput document/PDF processing systems, building end-to-end pipelines that extract structured content for downstream NLP use cases. Demonstrates strong practical MLOps-adjacent infrastructure skills: Kubernetes deployments, GitLab CI, GitOps workflows, and an incremental migration to AWS using EC2/Lambda tradeoffs. Deep hands-on optimization experience (selective OCR, layout-aware extraction, parallelism, caching, idempotency, and backpressure/autoscaling).”
Ashi Sinha
Junior Software Engineer specializing in full-stack and ML/NLP systems
“Entry-level full-stack engineer with internship experience at Amazon (Appstore IAP flow + uninstall recommendation workflow) and a health-tech startup (OneVector) where they built a DSUR reporting workflow end-to-end, including document generation, S3-backed versioning/metadata, and secure preview/download. Demonstrates strong production debugging and reliability mindset (instrumentation, deterministic retrieval, idempotent writes) and focuses on UX/performance in high-stakes user flows.”
Kunal Kumar
Mid-level Quant & Deep Tech Investment Associate specializing in ML-driven equity and VC research
“VC-focused sourcing candidate with a multi-channel approach spanning technical research communities (GitHub/arXiv/Hugging Face) and LinkedIn, plus access to founder networks like NVIDIA Inception. Has experience initiating cold founder relationships and progressing them through intro calls into deeper technical and business diligence, with a structured weekly pipeline/partner update cadence and thematic notes on frontier technologies.”
Daniel Benyamin
Executive AI and product leader specializing in media, advertising, and data platforms
“Serial entrepreneur in marketing and advertising who has founded four companies, most of them venture-backed. Has raised pre-seed and other venture funding multiple times, mentored at Techstars, and brings a strong investor network plus firsthand experience across the VC, accelerator, and launchpad ecosystem.”
Rahil Khan
Executive technology leader specializing in digital transformation, AI, 5G, and telecom platforms
“Founder of a cloud-based TV sharing startup who has already raised angel and Series A funding, then pitched larger VCs in New York and Silicon Valley using an MVP and live demos. Demonstrates practical knowledge of the VC and accelerator landscape, stage-appropriate fundraising, and capital-efficient startup building.”
Nagsen Dahat
Executive engineering leader specializing in FinTech platforms and cloud-native systems
“Motivated by the desire to work independently after spending significant time working for others. Demonstrated notable discipline and follow-through by completing a Master's program with great grades while managing a full-time job, family with two children, and a social life.”
Jared Hoffen
Senior AI Engineer specializing in LLM agents, RAG, and ML infrastructure
“Production-focused AI/ML engineer who has owned LLM agent and RAG systems end-to-end, from experimentation through deployment, monitoring, and iterative optimization. Stands out for building evaluation and observability layers around GenAI systems and delivering measurable gains in task success, regression detection speed, and token efficiency in production.”
Lissa Miller
Director-level Product Leader specializing in 0-to-1 B2B SaaS and AI platforms
“Product leader with experience spanning Apple and healthcare AI, including leading the global Apple Relay partner portal now used across 80+ countries and building LLM-powered clinician documentation tools at Xolv. Stands out for combining large-scale platform execution, measurable business impact, and a human-centered approach to AI in regulated environments.”
Shailaja Domala
Executive product and data leader specializing in AI, analytics, and FinTech platforms
“Senior product leader with 15 years of people management experience who has built AI-driven products from 0 to 1, including a no-code ML platform for citizen data scientists and data/insight products at Visa. Brings a rare mix of fintech, AI/ML, UX, and platform thinking, plus a strong human-centered AI perspective shaped by ethical AI work and mentoring underserved college graduates in India.”
Shiting Ding
Mid-level Software Engineer specializing in Ads backend and ML infrastructure
“Customer-facing technical professional with Amazon incident-management experience who helps drive adoption of complex ML/LLM solutions by delivering hands-on demos and rapid model fine-tuning. Applies a disciplined debugging approach (repro + logs/metrics + severity triage) and maintains runbooks to resolve SEV2 issues in ~1 hour, while also partnering with sales/customer teams to ship patches and new features based on feedback.”