• 🎓 Graduate Student, University of Texas at Arlington (UTA), MS in Computer Science (GPA: 4.0—Aug 2024 to May 2026)

• 🎓 Bachelor of Engineering (Computer Science), B. M. S. College of Engineering, Bangalore, India (GPA: 3.5 — Aug 2020 to June 2024)

• 💻 Machine Learning Engineer Intern, Vensora Inc., Dallas, TX, United States (Remote — Sep 2025 to Dec 2025)

  → Scaled the platform into a production-ready AI system for automated code generation, reducing manual engineering effort by ~70%

  → Built multi-step, asynchronous AI pipelines, improving system reliability, observability, and workflow orchestration

  → Developed AI agent-based validation and self-correction loops, increasing successful generation rates by ~3x

  → Designed agent memory mechanisms leveraging relational (PostgreSQL) and object storage (S3) to track progress, maintain context, and enable stateful multi-step workflows

  → Implemented MLOps-driven improvements, including monitoring, validation layers, and iterative feedback pipelines for consistent AI outputs

  → Improved system robustness through structured outputs and schema validation, significantly reducing failure cases

  → Optimized end-to-end generation performance and consistency for real-world usage and large-scale workflows

  → Completed system deployment aligning it for enterprise production use

• 💻 Data Science & AI/ML Engineer Intern, Vensora Inc., Dallas, TX, United States (Remote — June 2025 to Aug 2025)

  → Led development of an AI-powered platform for automated application and code generation from structured requirements

  → Built LLM-driven code generation workflows, transforming high-level inputs into full-stack application components

  → Developed context-aware (RAG-based) AI systems, improving output accuracy and reducing hallucination-related failures by ~40%

  → Designed core system architecture and service interfaces, enabling scalable interaction between AI services and backend systems

  → Implemented persistent context and memory layers using PostgreSQL and object storage (S3) to maintain structured state and support context-aware generation across workflows

  → Established early MLOps practices for LLM pipelines, including reproducible workflows, evaluation loops, and structured output handling

  → Collaborated across design and engineering to align AI-generated outputs with real product workflows and requirements

  → Actively contributed in Scrum meetings and Agile sprints, collaborating cross-functionally to deliver GenAI features

  → Led foundational engineer role in defining the technical direction and foundational architecture of an early-stage AI product

• 💻 Software Engineer Intern, Velozity Global Solutions

  → Worked on the deployment of a full-stack solution by integrating front-end and backend services with Express.js, architecting a scalable microservices architecture that improved application load times by 15% for key user-facing pages.

  → Implemented automated API testing protocols using Postman and orchestrated CI/CD pipelines to ensure continuous integration, reducing manual testing effort and improving API response times by an average of 30 milliseconds across all endpoints.

• 🔧 Tech Lead, CodeIO, BMSCE
  → Mentored 10+ junior developers and expanded modules in the BMSCE student-faculty ERP portal, improving usability and performance.

• 🤖 Conducted research using Hugging Face Transformers, Streamlit dashboards, and vector stores like ChromaDB, FAISS, and Pinecone for vision-language modeling and retrieval pipelines.

React Native · Node.js · Firebase · Plaid API
→ An intelligent personal finance tracker categorizing transactions with 90%+ accuracy and providing smart budget insights.

Python · Flask · YOLOv8 · OpenAI · LangChain · RAG · ChromaDB
→ Real-time coffee leaf disease detection app with OCR and an LLM-based retrieval QA pipeline for farmer support. Integrated vector search via ChromaDB.

Python · OpenCV · CNN · Transformers
→ Built a hybrid CNN-transformer pipeline to detect tampered videos using subtle facial shifts and temporal inconsistencies.

Flutter · Dart · Firebase · Firestore
→ A secure real-time healthcare chat app featuring typing indicators, presence tracking, and sleek material UI.

E-commerce · React · Node · Delivery Intelligence
→ Implemented a smart multi-delivery cart split system by zip code, with unified payment processing across sub-orders.

1. 📄 Overcoming LLM Challenges using RAG-Driven Precision in Coffee Leaf Disease Remediation
   IEEE ICETCS 2024 — DOI: 10.1109/ICETCS61022.2024.10543859

2. 🧠 Vision Encoder-Decoder Models for AI Coaching
   IEEE INOCON 2024 — DOI: 10.1109/INOCON60754.2024.10512280

3. 🌍 Language Detection for Transliterated Content
   IEEE 2024 — DOI: 10.1109/IEEECONF58110.2023.10520601