Dushyant
About
Product leader &
engineer at heart.
I'm a Product Manager at Tessact with 10+ years of experience driving innovation through AI/ML and large-scale digital transformation. I lead the development of an AI-driven platform that streamlines workflows and automates complex media processes for clients like Viacom, Zee, and Jio.
I combine deep technical expertise - spanning full-stack engineering, NLP, embedded systems, and edge computing - with strategic product vision and cross-functional team leadership.
Outside of work I build personal AI ecosystems: an offline cognitive AI platform, a voice-driven wearable, and on-device LLM tooling - driven by a passion for privacy-first, ambient computing.
Location
Bengaluru, India
Experience
10+ years
Current role
PM @ Tessact
Education
BCA, Symbiosis
Languages
EN · HI · FR
Status
Open to work
Product Skills
Technical Skills
Work Experience
Tessact
Bengaluru
2019 – Present
Product Manager
- ›Lead cross-functional teams building an AI-driven platform for Viacom, Zee & Jio.
- ›Define product roadmaps, timelines, and delivery milestones across complex media automation.
- ›Design and implement AI/ML & NLP-driven solutions to address real-world business challenges.
- ›Engage directly with clients to gather requirements, finalise scope and SOWs for PoCs.
Clap Global
Mumbai
2017 – 2019
Product Manager & Senior Software Developer
- ›Led a team of 10 engineers and designers; trained subordinates on Angular and PHP.
- ›Gathered requirements, created tailored solutions, and defined project roadmaps.
- ›Managed budgets, estimated costs, and ensured optimal resource allocation.
Impact Automation
Boston
2016 – 2017
Senior Software Developer
- ›Built “Mystro” — a ride-management app (Uber/Lyft for drivers) from concept to deployment.
- ›Developed open-source React UI libraries used internally and by the wider community.
- ›Refactored large codebases, reducing development time and bug count across releases.
ClayPlay
New Delhi
May – Oct 2016
Software Developer
- ›Front-end and API design contributing to modular, maintainable application architecture.
Projects
What I've built.
INNOVATION ECOSYSTEM
Neura · Quantum Hive · Quantum Watch form a connected personal intelligence ecosystem - a vision for privacy-first, human-centred AI that works anywhere, anytime, without the cloud.
A wearable AI device connecting seamlessly to Quantum Hive and Neura, enabling real-time voice-driven interaction and contextual intelligence on the wrist.
- ›Features a 1.28″ round LCD, RP2040 microcontroller, mic and speaker, and accelerometer/gyroscope for gesture control.
- ›Acts as a voice interface to Quantum Hive - transcribes spoken input and displays streamed AI responses instantly.
- ›Always-on minimalist UI showing time, weather, notifications, and AI insights.
- ›Built for 24-hour battery life with low-power optimisation for continuous connectivity.
- ›Designed as the hardware extension of Neura’s cognition - ambient, intuitive, truly personal.
A next-generation cognitive AI platform enabling personalised, context-aware intelligence across devices — the central brain connecting Quantum Hive and Quantum Watch.
- ›Built to understand and adapt to the user’s environment, behaviour, and intent using multimodal data — voice, text, and sensors.
- ›Provides a unified intelligence layer that powers memory, learning, and decision-making for connected edge devices.
- ›Enables privacy-first, offline cognition with real-time responsiveness — no cloud APIs required.
- ›Foundation for personal AI ecosystems capable of contextual automation and proactive assistance.
A self-contained, offline AI ecosystem bringing human-like interaction and automation to local devices — completely independent of internet connectivity.
- ›On-device conversational AI combining Whisper STT, Phi-2 LLM, and Coqui TTS for natural voice interaction.
- ›Supports wake-word activation (“Activate Hive”), real-time streaming, and dual modes - Basic (home automation) and Advanced (AI dialogue).
- ›Integrates a local API network via Tailscale for secure, multi-device access.
- ›Serves as the core AI engine for Quantum Watch, enabling instant context-aware responses on-wrist.
- ›Built for edge computing - reduced latency, enhanced privacy, reliable offline operation.
Built an AI-powered workflow for Tessact that processes game video footage and automatically generates social-media-ready engaging reels for Garena Free Fire.
- ›Designed end-to-end pipeline to ingest, analyse, and transform raw video files into short-form engaging content.
- ›Developed AI-driven editing and highlight detection to identify shareable moments from gameplay footage.
- ›Automated export to social-media-ready formats, optimised for platforms like Instagram, TikTok, and YouTube Shorts.
An Uber/Lyft driver-side ride-management application built independently from concept to deployment, focusing on scalability and user experience.
- ›Complete application architecture - front-end UI and API design for modular performance.
- ›Developed open-source React UI libraries contributing to the wider developer community.
- ›Refactored large codebases achieving measurable reductions in development time and bug count.
Contact
Let's work together.
Have a product challenge, collaboration idea, or just want to connect? I'm always open to interesting conversations.