ESLAVATH VINOD KUMAR
@eslavathvinodkumar
I build AI products that turn content and workflows into insights.
IndiaWhat I'm looking for
At Escalent, I lead AI-powered media intelligence and enterprise AI Hub products that transform audio and video into searchable transcripts, structured summaries, and actionable insights. My work has reduced manual analysis by 50%, accelerated insight generation by 60%, and improved processing efficiency by 40%.
I define product roadmaps, PRDs, feature priorities, and cross-functional delivery for 10+ AI-powered products across research, analytics, automation, and content generation. By combining Heap analytics, customer feedback, market research, and LLM advances, I help teams launch scalable AI features and increase AI adoption.
Previously at Kanerika and Shemaroo Entertainment, I built voice agents, RAG applications, recommendation systems, forecasting models, content intelligence tools, and executive analytics dashboards. I’ve used LLMs, speech technologies, FastAPI, LangChain, FAISS, Hugging Face, TensorFlow, Streamlit, Power BI, Python, and SQL to improve decision-making, automate workflows, and grow content reach.
I bring a product mindset grounded in hands-on AI/ML engineering, enterprise delivery, and measurable business outcomes.
Experience
Work history, roles, and key accomplishments
AI Product Manager
Escalent
Apr 2026 - Present (4 months)
Led end-to-end design, development, and delivery of an AI-powered media intelligence platform leveraging LLMs, speech-to-text, and FastAPI, reducing manual analysis by 50% and accelerating insight generation by 60%. Led product strategy and delivery of an enterprise AI Hub, defining roadmap and PRDs for 10+ AI products, driving 60% higher AI adoption and 40% faster research workflows.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kharagpur
Master of Technology, Industrial Engineering & Management
2021 - 2023
Grade: 8.30/10
Pursued Master of Technology in Industrial Engineering & Management, achieving a GPA of 8.30/10.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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