Sep 2022 – Jul 2023 · 10 mos · Pune, Maharashtra, India

• Developed an AI-driven Cross-Layer Stitching solution using a tree-based model, reducing network problem diagnosis time from 6–8 hours of manual debugging to automated analysis within minutes.
• Performed large-scale testing of AI models across multiple analytics use cases, measuring performance and scalability by distributing workloads with multiprocessing across three separate compute nodes.
• Migrated product use case codebase to Kedro Pipelines, redesigning workflows to be more modular and automated, which improved maintainability and enabled faster development and iteration.

Dec 2020 – Sep 2022 · 1 yr 9 mos · Bangalore Urban, Karnataka, India

• Developed and deployed a Network Planning Prediction Module that used predictive models to forecast weekly 5G network roll-out plans. This solution helped speed up internet penetration by providing accurate estimates for network tower setup timelines.
• Built a forecasting solution for macro-level 5G network planners. This tool supported high-level rollout strategies and helped streamline decision-making for large-scale infrastructure deployments.
• Created an AutoML MVP for internal teams, delivering a no-code platform that covered the complete machine learning project lifecycle from data preparation to model selection. The platform was recognized as one of the Top 10 most innovative internal solutions in 2021.
• Selected as a finalist for Handshake Deal, a global innovation accelerator forum, for contributions in predictive modeling and automation within telecommunications.

May 2019 – Nov 2020 · 1 yr 6 mos

• Worked at Flutura Decision Sciences and Analytics, supporting industrial analytics projects across oil and gas, utilities, and manufacturing, before the company was acquired by Accenture in 2023.
• Integrated a Gas Well Scoring and Routing Module into the Cerebra platform for ABB. This solution helped rank gas wells by production metrics and streamlined route planning for field teams, cutting downtime and improving efficiency.
• Delivered a proof of concept for anomaly detection and forecasting on a critical asset for a major Austrian oil and gas company. The system made it easier to spot equipment issues early and schedule maintenance before failures occurred.
• Drove the development of Cerebra Vision, a video analytics platform for computer vision tasks like object detection and safety monitoring. Managed several use cases at once and guided a group of interns through hands-on projects.
• Built a simulation and optimization model for Shell’s gas gathering network. The tool pinpointed bottlenecks and identified ways to route gas more efficiently, supporting better planning and lower operational losses.
• Regularly presented demos and ran workshops for clients, stakeholders, and investors, helping communicate technical features and building confidence in the solutions delivered.

Jan 2019 – Apr 2019 · 3 mos

• Built a Root Cause Analysis chatbot for the heavy machinery industry. The tool made it easier for equipment operators to troubleshoot issues and reduce downtime.
• Carried out data analysis and developed a prediction model for India’s largest tobacco manufacturer. The work helped the business understand key trends and improve production planning.
• Worked on optimisation problems and set-point predictions for a leading textile machinery manufacturer. This helped the company fine-tune machine settings and run their operations more efficiently.