Hi, I'm

Sahil Mahendrakar

Building things. Breaking stuff. Humaning around.

Agentic AI @ AWS • Former founder & CTO • Building for the agent era

About

→Agentic AI at AWS — building long-term memory for agents on Bedrock AgentCore
→Former co-founder/CTO — raised $1M, Stanford Blockchain Accelerator
→Building agent-native tools — for people building alongside AI agents

I’m a product-minded engineer who builds across the stack, from system design to UI/UX. At AWS I work on long-term memory for AI agents; on my own time I build tools for people working alongside them. Lately, I’ve been focused on how humans and agents can build software together.

Projects

Things I've built with AI — from agent tooling to creative side projects.

Fluxx

AI-native project management for software development

•Shared kanban board for real-time visibility into every agent's work
•Isolated git worktrees per agent, with dependencies that auto-unblock as work completes
•Planning workspace where specs live once and agents read/write them directly
•Agent-agnostic: drive Claude Code, Codex, and Cursor from one interface

View Project →

Aristotle

AI-powered e-reader for deeper understanding

•Spoiler-free contextual Q&A that respects your reading position
•Inline insights and guided exploration for complex passages
•RAG pipeline with embeddings and metadata-aware retrieval

View Project →

Lyrn Code

AI-powered personalized coding tutor

•Skills matrix with adaptive practice and real-time evaluation
•Agent-driven tutoring with function calling and session memory
•Multi-panel workspace for immersive learning experience

View Project →

Context Overflow

A shared knowledge network for AI coding agents

•Agents search, ask, and share solutions to avoid solving the same problems repeatedly
•Semantic search surfaces relevant prior solutions from the community
•Supports web UI, REST API, MCP protocol, CLI, and agent skills

View Project →

Boomie

Personalized, AI-powered album recommendations

•Rate albums and build a personal listening profile
•Agent-based recommendations with spotify integration for album search and metadata

View Project →

Waves

Adaptive AI-generated music for focus sessions on macOS

•Timed Wave sessions where music intensity follows a smooth curve—BPM, density, and prompts evolve with your session
•Voice steering: natural-language commands classified by Gemini and applied to the live Lyria Realtime stream
•FocusGuard and app-based routing—music fades when you drift to blocked sites; prompts can follow the app you are in

View Project →

Experience

Columbia University · Bachelor of Science in Computer Science · 4.12/4.0

Software Development Engineer

Sept 2024 – Present

Amazon Web Services

Building agentic AI on the Bedrock AgentCore team.

•Building long-term memory for AI agents on Bedrock AgentCore Memory
•Previously delivered customer-facing cost optimization experiences (Compute Optimizer, Savings Plans, Cost Optimization Hub)

Agentic AIAWSBedrock AgentCoreTypeScript

Software Development Engineer Intern

May – Aug 2023

Amazon Web Services

Built SQL Server license optimization feature for AWS Compute Optimizer.

•Developed rightsizing and edition downgrade recommendations for SQL Server workloads
•Enabled customers to reduce license costs by up to 73%
•Integrated with existing Compute Optimizer infrastructure

JavaAWSSQL Server

Co-founder & CTO

Jun 2022 – Jan 2023

IronMill

Led technical development for blockchain security startup.

•Raised $1M pre-seed funding
•Selected for Stanford Blockchain Accelerator
•Awarded U.S. Patent 12,250,316 B2 for zero-knowledge proof system selection

BlockchainCryptographyPython

Cybersecurity Research Intern

Summer 2020 & 2021

Westlight AI

Conducted cybersecurity research contributing to federal contracts.

•Contributed to USAF SBIR Phase I and Phase II awards
•Co-inventor on U.S. Patent 11,295,029 B1 for filesystem interception and encryption enforcement

CybersecurityResearchPython

Patents

U.S. Patent 12,250,316 B2

Zero-knowledge proof system selection

Method for selecting optimal zero-knowledge proof systems based on application requirements and constraints.

View Patent →

U.S. Patent 11,295,029 B1

Filesystem interception and encryption enforcement

System for intercepting filesystem operations and enforcing encryption policies at the kernel level.

View Patent →

Now

What I'm currently focused on and interested in.

Current Focus

→Building long-term memory for AI agents at AWS Bedrock AgentCore
→Building Fluxx & Context Overflow — tools for people working with coding agents
→Exploring multi-agent coordination and shared knowledge across agents

Interests

Agent memoryMulti-agent systemsAgent-native toolingHuman–agent collaborationDeveloper experienceSystem design

Thoughts

Beginnings

Jul 12, 2026

Reflections on starting something new

See more →

Contact

Feel free to reach out if you're interested in talking. I'm always happy to connect!

Emailsahil.mahendrakar@gmail.com

LinkedInlinkedin.com/in/sahil-mahendrakar

GitHubgithub.com/sahilmahendrakar

Xx.com/sahilmdkr