
AWS Community Builder 🥷(ML & GenAI) | Research Freak | Talks about AI, AGI & Cloud Deployments of AI & AGI | Public Speaker 🎤
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architecture-diagrams
October 27, 2025 – October 27, 2025
My architecture diagrams for use cases
View ProjectComputer-Use-Agents-with-Anthropic
September 15, 2025 – September 16, 2025
Computer-Use-Agents-with-Anthropic — repository
View Projectsnowflake-introduction-dev
April 17, 2025 – April 21, 2025
snowflake-introduction-dev — repository
View Projectbedrock-llama3-summarization
April 27, 2024 – May 2, 2024
This repository consists of invocation of Llama3 model using Bedrock to summarize the meeting transcripts.
View ProjectObject-Detection-AWS-SageMaker
July 1, 2023 – January 20, 2024
Object Detection Model using AWS SageMaker Built-in Algorithm
View ProjectRecommendation-System-AWS-Factorization-Machines
April 21, 2023 – April 21, 2023
Recommendation System using Factorization Machines - AWS SageMaker NoteBook Instance
View ProjectDQN-Automated-Driving
October 4, 2022 – April 19, 2023
DQN - Automated Driving | The DQN framework for Autonomous Driving Car
View ProjectA3C-BrickBreaker-Game-with-RL
October 4, 2022 – April 19, 2023
A3C BrickBreaker - Game with RL
View ProjectSatCNNRPN-Object-Detection-in-Satellite-Imagery
June 3, 2022 – April 19, 2023
SatCNNRPN - Object Detection in Satellite Imagery
View ProjectCultural Fit Analysis
The candidate's personal projects show a strong self-driven learning approach and initiative in exploring diverse areas within Data Science and Machine Learning. The variety of projects, from recommendation systems to reinforcement learning and LLM applications, indicates a broad interest and willingness to tackle different challenges, which could contribute positively to a dynamic team environment. The focus on AWS SageMaker also suggests an understanding of cloud-based ML platforms, aligning with modern data science practices.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.