Sep 2023 – Dec 2024 · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

• 1. Team Leadership and Growth: Led the strategic growth of a multidisciplinary team from 0 to 12 members, encompassing research, development, and MLOps functions. Provided strong leadership and direction in aligning team efforts with business objectives.
• 2. Product Innovation and Development: Architected and delivered two end-to-end AI-powered product lines for data extraction and document indexing, leveraging state-of-the-art machine learning techniques such as Large Language Models (LLMs), Small Language Models (SLMs), Vision-Language Models (VLMs), Convolutional Neural Networks (CNNs), and Transformers. These solutions significantly enhanced document processing efficiency and accuracy.
• 3. Advanced AI and ML Integration: Spearheaded the integration of LLMs, CNNs, and Transformers to develop novel AI solutions. Successfully automated complex document workflows and optimized performance, delivering substantial improvements in data accuracy, processing speed, and operational scalability.
• 4. Comprehensive MLOps Implementation: Established a robust MLOps pipeline to support the full lifecycle of machine learning models, from research and development to deployment and monitoring. Incorporated cutting-edge AI models, including VLMs and LLMs, ensuring seamless integration into production environments while maintaining high operational efficiency and scalability.

Mar 2021 – Sep 2023 · 2 yrs 6 mos · Remote

• Key Responsibilities:
• 1. Strategic Leadership: Directed the development of Computer Vision and AR SDKs for client use,
• aligning efforts with business goals.
• 2. Model Development: Built and optimized deep learning models for real-time deployment on edge devices, ensuring high performance.
• 3. Prototyping & Data Exploration: Led the creation of prototypes and performed Exploratory Data Analysis (EDA) to support model development.
• 4. Cross-Functional Collaboration: Worked closely with software teams to translate machine learning models into production.
• 5. MLOps Implementation: Established and maintained MLOps pipelines, ensuring smooth deployment and scaling.
• 6. API Specification: Created detailed spec sheets for ML and AR APIs for seamless development and deployment.
• Notable Projects:
• 1. Barcode and QR Code Detection: Developed real-time detection models for barcode and QR code scanning.
• 2. Object Detection and Classification: Delivered Siamese networks and SSD models for object detection, classification, and segmentation in warehouses.
• 3. Hand Tracking: Built an edge-based hand tracking solution for real-time interaction.
• 4. Person Recognition: Created an application for proximity detection and recognition using camera data.
• 5. Model Deployment: Developed model deployment frameworks using TFLite and SNPE on Android for edge devices.
• 6. Video Summarization: Developed real-time video summarization models for edge deployment.
• 7. Video Quality Assessment: Led video quality assessment model development during my role at Ixana.ai.

Mar 2019 – Mar 2021 · 2 yrs · Bangaluru, India

• Key responsibilities include
• 1. Aanalysing the needs of the users given a field of study, map it to deep learning techniques and then build POCs accordingly.
• 2. Build and optimize deep learning models so that they can be deployed on edge devices and with realtime capabilities and deploy them in edge devices.
• Notable Works :
• 1. Built Super resolution algorthms both in rgb and yuv domains which can run on mobile devices in realtime i.e 25 fps.
• 2. Deployed deep learning models (Super Resolution) in mobile(having Qualcom chipset) device using native c++ infra with proper encryption single handedly.
• 3. Drove the VFX wing of the company to find suitable use cases where AI can be used and build POCs to Automate Rotoscopy with 90% accuracy.
• 4. Led a 4 member team to work on a POC to convert 2D images to 3D representations.
• 5. Led the work on the content restoration wing using Deep Learning algorithms like Image Inpainting, Denoising, Super Resolution etc.
• 6. Currently driving the low light video enhancment project.

Feb 2017 – Nov 2018 · 1 yr 9 mos · Hyderabad Area, India

• Worked as Network Analyst for Microsoft Lab Services