AI Annotations & Labeling serving Meta AI, FAIR, Reality Labs, PAR, MSL & GenAI orgs - Pre-Training, Training, SFT (Supervised Fine-Tuning)

AI Platform for Multi-Model Multi-Modal (Image, Video, Voice, Text/Prompts) services across Family of Apps (Instagram, Facebook, WhatsApp, Threads, etc) - Post-Training, Inference Optimization, Scaling Deployment

Multi-GPU architecture support including Nvidia clusters(A100/H100), MTIA customized chips

Hardening agentic systems utilizing thousands of agents to avoid prompt injections, enforcing role-based policy and gaurdrails, sandboxing, automative penetration testing

Hive, Presto, Spark, Airflow, Distributed Key-Value ZippyDB, PHP, Hack, C++, Python, GraphQL, React

LLM, VLM, Vector Embeddings, Semantic Search, E2E ML/AI Infrastructure & Agentic Workflows Automation, Parameter-Efficient Fine-Tuning (PEFT), RAG, REFRAG, RL (Reinforcement Learning), RLHF

I expanded the transformation of cloud technology by prioritizing flexibility, efficiency, and data ownership. By leveraging my expertise in private data management and resource control, I successfully led the team in implementing innovative solutions that revolutionized our AI-first cloud services.

Case Study: LinCloud is currently utilizing Momento AI SDKs to help developers build apps quickly using AI similar to Bolt, Replit and Lovable. Try the prompt enhancement features and marketplace to publish your customized app. All of these services are deployed through our integration with Vercel.

• Developed a next-gen cloud computing platform at Momento AI enabling seamless 1-click migration and CI/CD automated assistance.

• Customized GPT for optimal system selection, enhancing user experience and efficiency.

• Grew the core team from 1 to 5, establishing clear roles and responsibilities to ensure efficient product development and execution.

• Led the team to innovate and deliver cutting-edge solutions for cloud computing utilizing AI.

Techstars '24 cohort. Live launch demo in Japan, U.S. and EMEA regions.

As a founding partner, I am leading and super visioning AI development at March Health, focusing on early diagnosis of endometriosis through the implementation of digital twins and health agents for patients.

As a team, we are transforming the healthcare industry by leveraging cutting-edge model advancements and R&D, setting new standards in patient care.

Corporate partnerships with Samsung Partner Hub, Nvidia DGX Platform, Microsoft Azure/Copilot, AWS Partner, Google Cloud Credits, Mayo Clinic & John Hopkins

Aligned product vision with engineering team, creating more visibility among leadership using AWS and Amazon infrastructure.

E2E design and implementation of fraud detection layer on existing payment processing system that serves Amazon Retail, Amazon Ads and AWS global businesses.

AWS - SQS, SNS, SWF, Serverless Lambda, DynamoDB, CloudFormation, EC2, S3 Bucket, IAM, CloudWatch

AI - Amazon Q, SageMaker, GenAI, CodeWhisperer, Supervised Classification, Unsupervised Clustering

Amazon - Brazil Build, Coral Framework, Spring Boot, Apache Tomcat (Pure Java Backend Services)