{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"AI Engineer Intern","company":"TheoremLabs","location":"Charlotte, NC, USA","range":"Oct 2025 – Present","url":"https://theoremlabs.com/"},"html":"\n- Built a real-time AI meeting agent using Recall.ai + ElevenLabs that autonomously joins enterprise meetings, generates structured summaries, and responds context-aware during live discussions.
\n- Designed secure, scalable API integrations using Azure API Management (APIM) and Event Grid, supporting asynchronous execution across distributed enterprise systems.
\n- Architected event-driven conversational workflows with Azure Logic Apps and Power Automate, enabling scalable transcription processing, agent decision routing, and post-meeting document automation.
\n- Contributed to banking and enterprise automation PoCs for Vantage Bank, integrating Azure SQL / SQL MI and modern APIs for RPG legacy systems to enable workflow-driven data movement and notifications.
\n
"}},{"node":{"frontmatter":{"title":"Research Assistant","company":"UQ Labs","location":"University of North Carolina Charlotte, NC, USA","range":"May 2025 – Dec 2025","url":""},"html":"\n- Fine-tuned CLIP and BLIP-based visual-language models (VLMs) for spectrogram classification and multimodal learning tasks.
\n- Designed and implemented Model Context Protocol (MCP)-based tooling to auto-generate React-Admin dashboards from backend schema definitions.
\n- Contributed to model evaluation, zero-shot classification pipelines, and scalable deployment strategies for LLM-VLM integration.
\n
"}},{"node":{"frontmatter":{"title":"Research Assistant","company":"AI4Health","location":"University of North Carolina Charlotte, NC, USA","range":"Jan 2025 – Present","url":""},"html":"\n- Developed .bvh to joint-space conversion pipelines for standardized animation analysis and alignment.
\n- Implemented a motion interpolation module to synthesize in-between frames, enhancing fluidity and realism in generated motion sequences.
\n- Contributed to real-time deployment efforts by optimizing PyTorch inference pipelines and Web application creation for the model inference.
\n
"}},{"node":{"frontmatter":{"title":"Software Engineer 1","company":"SoftwareAG","location":"Mumbai, India","range":"Mar 2022 – June 2024","url":"https://www.softwareag.com/"},"html":"\n- Engineered and deployed scalable features for webMethods.io Integrations using React, Node.js, and MongoDB, leading to a 90% increase in unit test coverage (from 32% to 61%).
\n- Worked with Microsoft Power Platform components for workflow automation, data integration, and API-based system orchestration.
\n- Architected and optimized CI/CD pipelines using Jenkins, GitHub Actions, and Azure DevOps practices, reducing deployment cycles by 75% while ensuring zero-downtime deployments.
\n- Strengthened system security by implementing Content Security Policy (CSP) headers, sanitizing user inputs, and mitigating XSS & SQL injection risks, enhancing security by 70%.
\n- Developed custom data migration scripts with backup and restore capabilities, and evaluated Azure Storage / Azure SQL integrations to ensure seamless platform upgrades.
\n
"}}]}}}