Omkar M.

Software Engineer @ hushh.ai | Product Development | Research Oriented | In top 20 at Tech.Future Hackathon by IIT Delhi

Role: Software Engineer at hussh 🤫
Location: Nashik, MH, IN
LinkedIn followers: 500 followers

EngineeringView LinkedIn profile

About Omkar M.

As a software engineer at hushh.ai, I develop, deploy, and improve products that leverage machine learning and deep learning models for natural language processing. I use Python and Swift to create innovative solutions that enhance human communication and interaction using cutting-edge technologies such as deep neural networks (DNN) and generative AI. I am also pursuing my Bachelor of Technology degree in Electronics and Telecommunication from Vishwakarma Institute of Information Technology, where I have gained hands-on experience and knowledge in various domains such as IoT, ML, and DSA. I have earned multiple certifications and awards for my achievements, such as the Nvidia Certification for Fundamentals of Deep Learning, and the Top 20 rank at the Tech.Future Hackathon IIT Delhi. I am passionate about learning and growing as a software engineer and a machine learning enthusiast, and I strive to contribute to the advancement of NLP and AI.

Experience

Software Engineer
hussh 🤫
Jul 2023 — Present

Education

Vishwakarma Institute of Information Technology
Bachelor of Technology - BTech
2020 — 2024

Contact information

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•••••@hushh.ai
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Current company

hussh 🤫

Technology, Information and Internet · 71 employees · Founded 2021 · Kirkland, Washington, United States

Hussh One: A consent-first personal agent platform where trusted context, personal knowledge, and user intent can be used safely by AI agents to complete real workflows. We are starting with financial agents, where context, permission, auditability, and decision quality matter from day one. Hussh combines three layers: • The personal agent experience • The consent protocol underneath it • The developer platform that lets builders create specialist agents without rebuilding trust infrastructure from scratch Through PCHP, our Personal Consent Handshake Protocol, agents request only the context they need, for a declared purpose, with revocation and auditability built in. Through the Hussh Developer Platform and SDK, builders can scaffold agents, declare scopes, validate consent behavior, run sandbox personas, and prepare certified specialist agents for distribution across agent ecosystems. We are building for a world where AI agents move beyond chat: • User-owned memory • Consent-scoped context • Financial intelligence • Developer APIs • Model Context Protocol integrations • Google Agent Development Kit workflows • Future on-device/private-compute paths -all working as one operating layer. The goal is simple: Make AI useful at scale without taking control away from the person it serves.

hushh.ai

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