
Associate Data Scientist with a strong product mindset, building AI solutions in computer vision, MLOps, and conversational AI. Improved model performance and translated business problems into practical solutions. Focused on problem definition, user needs, and data-driven decision-making, with an interest in transitioning into Product Management and cloud-based roles.
Machine Learning Engineer | Dec 2022 – Present
LEAP 3.0 Winter Internship – COSS India & Prodevans Technologies (with RedHat Academy) Dec 2020 – Apr 2021
Product & Analytics Skills:
Machine Learning & AI
Tools & Technologies
AI based Object Detection for Network Diagnostic (Fiber, AirFiber, S2-PMS, Remote Diagnostics): Built YOLOv3→YOLOv9 models, boosting accuracy 84%→90%+, reducing loss, optimizing inference, and improving dataset quality (7K+ images, 70% reduction in class imbalance).
Automated Video Generation: Developed pipeline using voice cloning (Mozilla TTS, Coqui, Bark, Tortoise), lip-syncing & face restoration to create personalized videos for employee engagement.
Kubeflow ML Pipelines: Gained hands-on experience with Kubeflow (basic) for ML pipeline workflows.
Assisted in pipeline setup and experimentation for model training and validation and documented workflows and use cases to support reproducibility and team adoption.
Reporting, Documentation & Collaboration:
Conducted model performance analysis and comparisons; maintained trackers and presented insights to stakeholders for data-driven decision-making.
Led internal demos and mentored new team members, strengthening cross-functional collaboration and knowledge sharing.
Chatbots & Product Testing: Validated HR Bot & product-specific bots, improving workflows, user experience, and system reliability.
Magic-Wall: Visualization Using Enhanced Wall Segmentation ( Academic Project )