Siddhant Jain

I am an AI Solution Architect, applied AI researcher, and product leader with 6+ years of experience designing and delivering intelligent systems across industry, research, and enterprise environments. My work spans the full stack: from Linux kernel character drivers to enterprise AI platforms, conversational agent systems, 3D virtual avatar pipelines, and cloud infrastructure at scale.

At DFKI SCAAI, I have delivered AI systems across a broad range of applied problems: a mixed-reality teacher training platform (MITHOS) with real-time multi-device pipelines using Kafka, Unreal Engine, and MetaHuman virtual agents; an LLM-driven conversational agent architecture (CLIKK); a photorealistic face reconstruction pipeline for real-time 3D avatar animation (AVASAG); driver mood prediction from multimodal signals (Hymotion); sentiment recognition from German Sign Language published at LREC 2026; and AI-driven disinformation intervention using virtual agents (MARSS).

Before research, I architected enterprise platforms at scale. At Videocon d2h, I owned the technical specification for Chromium-based browser integration enabling partnerships with YouTube, Hotstar, Twitter, and Sony across 10 million subscriber households predating Firestick in India. I contributed to cloud architecture for the Watcho OTT platform handling 50-100K simultaneous users with Akamai CDN, and built an enterprise project management platform for a 50-person R&D division.

I completed my M.Sc. in Media Informatics at Universität des Saarlandes / HBKsaar, with a thesis on multimodal ML for detecting self-compassion in teacher training sessions.

Let's connect if you are working on or interested in:

→ AI solution architecture or enterprise AI systems

→ Conversational AI, LLM-powered agents, or RAG pipelines

→ Multimodal ML, affective computing, or human-centered AI

→ Product leadership or technical consulting in AI

→ Full-stack AI from research prototype to production deployment