.png){kind=logo}
Vetted Large Language Models Professionals
Pre-screened and vetted.
Vignesh Shanmugasundaram
Junior Software Engineer specializing in full-stack development and applied ML
“Full-stack engineer with experience at Zoho and Amazon who has owned production systems end-to-end, including a monolith-to-microservices migration using Kafka and Cassandra that improved search latency ~25% and increased throughput without data loss. Also built a hackathon project (Buildwise) into a sold product for a construction company (AI-driven document compliance checks) and shipped an IoT-based parking availability MVP in 3 weeks.”
Sarthak Gupta
Mid-level AI/ML Engineer specializing in LLMs, NLP, and real-time AI systems
“Backend engineer who built a real-time pipeline for recording, transcribing, and analyzing audio from 400+ news radio stations, scaling Whisper on an HPC cluster with 7 H100 GPUs. Has strong performance optimization experience (30% latency reduction via SQL/query design; 50% DB call reduction via Redis caching) and has implemented region-based data isolation and PII protections in a regulated environment (JP Morgan Chase).”
Sri Lekha Kandadai
Mid-level Machine Learning Engineer specializing in MLOps and multimodal AI
“ML/AI engineer focused on production-grade model reliability: built a monitoring and validation framework to detect drift, trigger anomaly alerts/retraining, and maintain consistent performance for device intelligence workflows at scale. Strong MLOps background with Python pipelines, Docker/Kubernetes deployments, Airflow orchestration, and real-time monitoring dashboards; experienced partnering with product managers to deliver business-facing insights.”
Payam Forghani
Senior Solutions Architect specializing in Cloud, AI, and Telecom Transformation
“Senior growth/partnership leader operating at the intersection of cloud, AI, and creator/gaming ecosystems. Has driven >20% QoQ revenue growth and double-digit user growth via ecosystem partnerships, design-partner pilots, and referral loops, and reports shortening sales cycles 25–30% through a strong telecom/enterprise network (Verizon, Dish, T-Mobile, Scotiabank; earlier Cisco/Ericsson).”
Senior Healthcare Data & Program Manager specializing in AI data annotation
Executive Technology Leader specializing in AI, Data Platforms, and FinTech
Intern Machine Learning Engineer specializing in LLM agents and RAG systems
Mid-level Machine Learning Engineer specializing in MLOps, computer vision, and generative AI
Executive Technology Strategist & Chief Architect specializing in enterprise digital transformation
Engineering Executive specializing in AI platforms and high-scale web products
Junior Software Engineer specializing in AI/ML and FinTech full-stack development
Senior Machine Learning Engineer specializing in MLOps and LLM/Agentic AI systems
Junior GenAI/ML Engineer specializing in LLM agents and production NLP systems
Intern Machine Learning Engineer specializing in Generative AI and LLM systems
Senior Software Engineer specializing in Cloud, DevOps, and Infrastructure as Code
Mid-level Software Engineer specializing in AI-driven systems and scalable backend services
Senior NLP Research Scientist specializing in summarization, argument mining, and LLM evaluation
Senior Software Engineer specializing in Cloud DevOps & Platform Engineering
Mid-level Software Engineer specializing in backend systems, cloud, and AI
Senior Data Scientist specializing in LLM products, voice agents, and FinTech risk modeling
Mid-level Full-Stack Software Engineer specializing in cloud-native web and real-time systems