
Vasu Verma
@vasuverma
I build production voice AI, LLM fine-tuning platforms, and multi-agent systems for enterprise workflows.
What I'm looking for
At Metafore, I founded and own Mira, a real-time conversational voice AI agent for telco customer care and second-line support. I lead its product scope, architecture, GTM narrative, pricing, and enterprise pitches.
I architected Mira from SIP ingress and telecom infrastructure through LLM orchestration, enabling direct carrier-voice integration. I reduced live-call turn latency from roughly 500 ms to under 300 ms and built a 50+ tool multi-agent system for CRM, billing, plan changes, ticketing, and network diagnostics.
I also shipped an AWS-based LLM fine-tuning platform adopted by 15+ engineers, with LoRA/QLoRA workflows, DVC and MLflow versioning, containerized inference, GPU autoscaling, and monitoring. Previously at LSEG, I automated Salesforce UAT validation and built LLM-driven reconciliation across 12 Cr-record datasets at 93% accuracy.
My earlier work spans FastAPI and Neo4j knowledge-graph services at Siemens, multilingual healthcare RAG at SmartQR, and audio ML at boAt. I enjoy taking GenAI systems from model experimentation to production products with measurable business outcomes.
Experience
Work history, roles, and key accomplishments
Full Stack Gen AI Research Engineer
Metafore
Jan 2026 - Present (8 months)
Initiated and own Mira, a real-time voice AI agent for telco customer care, architected from SIP ingress to LLM orchestration, and reduced latency to under 300 ms. Built a multi-agent system with 50+ tools and delivered POCs with Airtel, Orange, and Axiata.
Automated Jira-story-to-UAT Salesforce validation using Python and GenAI orchestration, reducing engineer effort by 97%. Engineered LLM-driven reconciliation across 12 Cr-record datasets, detecting mismatches at 93% accuracy.
Built a FastAPI service for dual-PDF protocol mapping, auto-generating Neo4j knowledge graphs from embeddings with PMI-weighted edges. Designed an NLP-to-SHACL pipeline validated via pySHACL for domain-agnostic RDF generation.
Lead GenAI Developer
SmartQR
Dec 2023 - Mar 2024 (3 months)
Deployed a 15-language healthcare chatbot for India's Home-to-Home medical program, achieving 90% on F1/precision/BLEU. Built a women's and adolescent-health LLM outperforming GPT-3 by 5% on clinical response accuracy.
Embedded Development Intern
boAt
May 2023 - Jun 2023 (1 month)
Developed an Enhanced Noise Cancellation algorithm achieving 83% improvement and trained CNNs on 1L MFCC audio samples at 93% accuracy.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology Kharagpur
Bachelor of Science, Geology & Geophysics
Grade: 7.70 / 10
B.S. in Geology & Geophysics with a micro-specialization in Entrepreneurship & Innovation Engineering.
Amazon
Amazon ML Summer School, Machine Learning
2024 - 2024
Selected among top 0.6% nationwide; trained by Amazon Scientists in machine learning topics including supervised learning, deep neural networks, and generative AI.
Nirmala Convent Sr. Sec. School
CBSE Class XII, General
Grade: 90.80%
Completed CBSE Class XII with 90.80%.
Nirmala Convent Sr. Sec. School
CBSE Class X, General
Grade: 96.60%
Completed CBSE Class X with 96.60%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Social media
Skills
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