Nov 2024 – Apr 2025 · 5 mos

• Developed custom model live-inference pipelines for Pytorch models on Vertex AI
• Optimized the training pipelines for vision models.

Aug 2022 – Nov 2024 · 2 yrs 3 mos

• Developed advanced systems for processing and analyzing unstructured data, including financial documents, conversations, and media. Key responsibilities included designing and implementing automated solutions for extracting and indexing data, training and optimizing deep learning models, and deploying AI models at scale. Technologies and skills utilized in these roles included quantisation, Large/Medium Language Models (LLM/MLM), CNNs, OCR, transformer models, speech-to-text processing, sentiment analysis, named entity recognition, summarization, and large-scale model deployment using frameworks like PyTorch, TensorFlow, TorchServe, and Docker. Significantly improved processing efficiency, accuracy, and scalability of AI systems, with applications ranging from financial anomaly detection to customer interaction analysis and generative AI deployment.

Aug 2021 – Aug 2022 · 1 yr

• Developed and optimized AI frameworks and pipelines for efficient model deployment, content moderation, and other diverse use cases. Key responsibilities included designing a library for model preprocessing and inference across multiple frameworks, streamlining API development, and building a robust video intelligence system for content moderation. Technologies and skills utilized included PyTorch, TensorFlow, 3D-CNN models, and custom compliance modules. Work resulted in significant reductions in development overhead and processing latency, enhancing the efficiency and accuracy of AI-driven solutions.

Jul 2019 – Jun 2021 · 1 yr 11 mos · Hyderabad, Telangana, India · Hybrid

• Mentoring working professionals enrolled in Talentsprints AI/ML course in conjunction with IIIT Hyderabad.

Jun 2018 – Jul 2021 · 3 yrs 1 mo · Hyderabad, Telangana, India · On-site

• Worked with Prof. C.V Jawahar on the applications of Computer Vision in Sports Analytics. (Part of my Masters Thesis)

Feb 2018 – Jan 2022 · 3 yrs 11 mos

• An open source organisation that built tools to enable semantic web based APIs using the W3C Hydra spec. Part of multiple Google Summer of Codes (2018-2022) both as mentor and org admin.
• https://www.gsocorganizations.dev/organization/hydra-ecosystem/

May 2017 – Sep 2017 · 4 mos

• Google Summer of Code under the Python Software Foundation.
• Developed hydrus, the hydra-universal server that automatically creates an API with relevant endpoints, databases, and methods to serve RESTful data out of the box when provided with a Hydra API documentation.
• Showcased the usage of hydrus and the hydra-client in an interactive demo using a flock of simulated drones to detect forest fires.
• https://summerofcode.withgoogle.com/archive/2017/projects/5120503765270528

Dec 2016 – Aug 2017 · 8 mos · Kolkata Area, India

• Worked under Prof. Umapada Pal (Head) at CVPR Unit of ISI Kolkata in the field of Machine Learning and Pattern Recognition.