Experience
My professional journey in development and leadership roles
Software Engineer (Founder)
Mimir
Mumbai, India
Built and shipped end-to-end real-time VoIP AI agents for customer support, architected multi-tenant versioning for scalability, and integrated advanced conversational AI features.
Key Achievements:
- Built and shipped end-to-end real-time VoIP AI agents for customer support using FastAPI, WebRTC, LangChain, and OpenAI Realtime via Twilio Media Streams, cutting average handle time by 42% and improving first-contact resolution by 28% across 20+ SMB deployments.
- Architected multi-tenant versioning with per-tenant vector stores and rate-isolated pipelines, enabling 5x concurrency scaling while maintaining sub-250 ms round-trip latency for speech-to-action loops.
- Integrated Semantic VAD and intent-aware turn-taking to optimize barge-in and silence detection, reducing interruption errors and boosting CSAT by 18 points through more natural conversational flow.
- Implemented telephonic RAG with tool-use for ticket lookups, order status, and booking flows, automating 65% of repetitive Tier-1 tasks delivering 1.3x ROI within 90 days.
Software Development Intern
Nomura
Mumbai, India
Developed a dependency upgrade tool, upgraded database instances, and constructed a trade reporting application.
Key Achievements:
- Developed a dependency upgrade tool using TypeScript, orchestrating seamless integration via GitLab pipelines, significantly reducing manual intervention and ensuring consistent updates.
- Upgraded three Oracle database instances, achieving a 40% increase in data processing speed.
- Constructed a robust Spring Boot application utilizing JMS, JDBC, and Oracle SQL for trade reporting achieving a 25% reduction in trade processing time.
- Improved documentation accessibility by scraping Confluence pages to generate vectorized word embeddings, successfully training GPT-based language models that achieved an average BLEU score of 51%.
Software Development Intern
Microsoft
Bangalore, India
Managed the ingestion and processing of radiology reports and developed solutions for semantic highlighting and text summarization.
Key Achievements:
- Managed the ingestion, caching, and processing of over 1 million radiology reports using Azure Redis Cache, significantly reducing retrieval and processing latency by over 50%.
- Implemented and evaluated solutions for semantic highlighting of critical medical text, substantially enhancing the readability and accuracy of radiology reports.
- Developed NLP-driven text summarization methods, enabling rapid synthesis of medical data from detailed reports, thus accelerating clinical review processes.