May 2023 – Nov 2024 · 1 yr 6 mos · Hybrid

• Led IVMS/AIMS development, scaling AI-geospatial platforms for 10+ utilities; optimized petabyte-scale systems for multimillion-dollar savings and grid reliability; supported cross-team migrations.
• Redesigned Forecast System from EC2 to EKS, enabling scalable weather ingestion and outage modelling for 10+ clients with parallel real-time 72-hour inferences.
• Automated and standardized satellite data onboarding pipelines for IVMS/AIMS across 10+ customers, achieving 90% validation accuracy, first-year ROI, and reducing customer onboarding time by 50%.

Jan 2020 – Jun 2023 · 3 yrs 5 mos · Hybrid

• Developed a seamless Road Survey and Monitoring System for DOTs, enabling inventory analysis (Defects/Assets) and efficient asset planning, managing over 10 million data points, resulting in a 20% increase in asset management efficiency.
• Led the development of the IVMS Application, allowing utility companies to analyze, plan, and execute asset management strategies, resulting in multi-million dollar savings and a 15% reduction in operational costs.
• Built a service generating HD Geospatial PDFs for offline field use, supporting raster and vector layers, enhancing field data accessibility and utility, and increasing field operation efficiency by 35%.
• Created an in-house product to streamline process job launches for data correction and validation, enhancing data accuracy and reducing validation time.
• Mentored and onboarded over 10+ engineers across multiple products, fostering skill development and improving project efficiency.
• Developed a generic micro-service for API content delivery to external clients, enhancing data accessibility and service integration, leading to a 40% increase in client satisfaction.

Aug 2019 – Dec 2019 · 4 mos · Noida Area, India

Mar 2017 – Aug 2019 · 2 yrs 5 mos · Noida Area, India

• ■ Created a Consumer Bot that resolves customer problems using statistical models based on historical data, reducing ticket volume by 30%. Additionally, launched multiple verticals on the CST Platform, further reducing ticket numbers by 30% and decreasing agent costs by over $10 million. Developed help and support features for PaytmBank, enhancing customer support capabilities.
• ■ Developed a Django admin panel to manage content, schema, rule-engine, and CST vertical tree mapping, which serves as the backbone of the CST application, including custom permissions for data management.
• ■ Onboarded and integrated major Fulfillment Center partners for order processing, increasing Paytm Mall sales by 10%.
• ■ Built a Management Information System that significantly accelerated debugging for order-related issues for FC partners.
• ■ Merged three different RPC panels into a single panel for logistics reverse flow, saving resources and cutting costs by one-third.
• ■ Collaborated in Agile development and daily scrum meetings with teammates and product managers to determine project scope and ensure alignment with goals.

Nov 2016 – Feb 2017 · 3 mos · Bangalore · On-site

• ■ Created a microservice for the Threat Intelligence project utilizing Python, Django, Scrapy and MySQL, which streamlined data processing, increased data acquisition speed by 30%, and provided clients with timely insights on web presence, email, account, and domain intelligence.
• ■ Created Python scripts to gather intelligence across various domains, enhancing data analysis capabilities.
• ■ Collaborated with teammates regularly to determine the scope of Threat Intelligence projects, ensuring 100% alignment with project goals and requirements.
• ■ Maintained and fixed bugs for existing applications in Threat Intelligence, reducing error rates and improving application stability.

Aug 2014 – Sep 2016 · 2 yrs 1 mo · Bhubaneshwar, Odisha, India

• ■ Developed backend systems, databases, web-based UIs, and APIs using Python and Django
• ■ Conceptualized and executed original website feature designs for an US based e-commerce application, increasing user engagement by 10%.
• ■ Generated automated comprehensive business reports through SQL scripting, providing statistics and insights that informed strategic decisions, resulting in a 15% increase in operational efficiency.
• ■ Managed continuous maintenance and troubleshooting for web applications, reducing downtime by 20%.