Roshan Kharel profile photo 1 on Tal

Roshan Kharel

Lead AI Engineer | GenAI | Guy working in AI πŸ”„ Web3

Guwahati

4+ years of work experience

Stealth AI Startup
Sep 20251 yrPresent

AllysAI
Nov 20241 yr 10 mosPresent

β€’ Led development of a Whatsapp native multi-tenant agentic platform with real-time tool execution and tenant-level isolation. β€’ Built a legal-tech AI SaaS using LangGraph agents over 760+ structured law documents (GDPR-compliant deployment on Azure France Central) β€’ Built a multimodal AI avatar with real-time vision (gesture/emotion detection) and sub-4s voice latency; demoed at Dubai AI Summit 2026. β€’ Delivered multiple production AI systems (voice agents, RAG pipelines, analytics), owning architecture, deployment, and scaling.
Sarathi Studio
Jan 20242 yrs 8 mosPresent

β€’ Built and deployed AI-driven systems across voice automation and web platforms, focusing on real-world production use cases. β€’ Built and deployed Sarathi Voice Agent β€” multilingual government voice assistant (Assamese, Bodo, Hindi) with on-device STT/TTS.
Fundora
Jan 20251 yrDec 2025

Magic Square
May 20221 yr 6 mosOct 2023

Isreal

At Magic Square, I architected the technical backbone of a Web3-native community platform from the ground up. As part of the founding team, I built and scaled on-chain community infrastructure using Discord bots, Web3 auth flows, role-based access controls (Collab.Land, Gnosis Safe), and custom automation scripts for Telegram and Twitter. I engineered growth tooling, integrated APIs for user analytics and wallet-linked engagement, and helped design the technical pipeline for MagicID and the Magic Store. Spearheaded community growth from <10k to 190k+ users and played a key role in securing a Binance grant by demonstrating scalable, data-driven user acquisition strategies.
Magic Square
May 20221 yr 6 mosOct 2023

β€’ Built real-time analytics pipelines processing 90K+ user events, improving data freshness and reducing release cycles by 40%. β€’ Developed backend systems for event ingestion, processing, and dashboarding (Pub/Sub β†’ BigQuery). β€’ Worked on data-driven features for user insights and retention analysis.

Roshan’s AI Stack

codex
codex
claudecode
claudecode

Education

Tezpur University

Master of Technology, Artificial Intelligence

Tezpur University

20232 yrs2025
Central Institute of Technology, Kokrajhar

B.Tech, Computer Science

Central Institute of Technology, Kokrajhar

20194 yrs2023

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Headline

Lead AI Engineer | GenAI | Guy working in AI πŸ”„ Web3

About

AI Engineer building production LLM systems, real-time AI pipelines, and multimodal applications across SaaS and voice interfaces. Experienced in designing and deploying agent-based systems, retrieval-augmented generation (RAG), and low-latency inference workflows in production environments. Previously worked on data platforms and backend systems handling large-scale event pipelines, which now inform my approach to building reliable, scalable AI systems end-to-end. My current focus areas: β€’ LLM systems & agents: RAG pipelines, tool-use (function-calling) agents, evaluation-driven workflows β€’ Inference & systems: low-latency serving, streaming pipelines, real-time orchestration β€’ Backend & infra: Python, FastAPI, Node.js, PostgreSQL, Redis, Docker, Kubernetes, cloud deployment I focus on shipping AI systems that work reliably in production β€” from data and orchestration to deployment and monitoring. Open to AI Engineer / Applied AI / Inference Engineering roles where I can build and scale real-world AI systems.

Location

Guwahati

AI stack

codex

claudecode

Work experience

Lead AI Engineer at Stealth AI Startup, Sep 2025 - Present Β· 1 yr

Artificial Intelligence Engineer at AllysAI, Nov 2024 - Present Β· 1 yr 10 mos, β€’ Led development of a Whatsapp native multi-tenant agentic platform with real-time tool execution and tenant-level isolation. β€’ Built a legal-tech AI SaaS using LangGraph agents over 760+ structured law documents (GDPR-compliant deployment on Azure France Central) β€’ Built a multimodal AI avatar with real-time vision (gesture/emotion detection) and sub-4s voice latency; demoed at Dubai AI Summit 2026. β€’ Delivered multiple production AI systems (voice agents, RAG pipelines, analytics), owning architecture, deployment, and scaling.

Founder at Sarathi Studio, Jan 2024 - Present Β· 2 yrs 8 mos, β€’ Built and deployed AI-driven systems across voice automation and web platforms, focusing on real-world production use cases. β€’ Built and deployed Sarathi Voice Agent β€” multilingual government voice assistant (Assamese, Bodo, Hindi) with on-device STT/TTS.

Founding ML Engineer at Fundora, Jan 2025 - Dec 2025 Β· 1 yr

Founding Engineer – Web3 Community Infrastructure at Magic Square, May 2022 - Oct 2023 Β· 1 yr 6 mos, Isreal, At Magic Square, I architected the technical backbone of a Web3-native community platform from the ground up. As part of the founding team, I built and scaled on-chain community infrastructure using Discord bots, Web3 auth flows, role-based access controls (Collab.Land, Gnosis Safe), and custom automation scripts for Telegram and Twitter. I engineered growth tooling, integrated APIs for user analytics and wallet-linked engagement, and helped design the technical pipeline for MagicID and the Magic Store. Spearheaded community growth from <10k to 190k+ users and played a key role in securing a Binance grant by demonstrating scalable, data-driven user acquisition strategies.

Data Engineer at Magic Square, May 2022 - Oct 2023 Β· 1 yr 6 mos, β€’ Built real-time analytics pipelines processing 90K+ user events, improving data freshness and reducing release cycles by 40%. β€’ Developed backend systems for event ingestion, processing, and dashboarding (Pub/Sub β†’ BigQuery). β€’ Worked on data-driven features for user insights and retention analysis.

Education

Master of Technology, Artificial Intelligence, Tezpur University

B.Tech, Computer Science, Central Institute of Technology, Kokrajhar