Hyderabad, Telangana, India
As a Data Engineer 2 at Microsoft, I thrive at the intersection of data, engineering, and innovation. With a strong foundation in building scalable data pipelines and optimizing data infrastructure, I’m deeply passionate about transforming raw information into actionable intelligence that drives impact. My journey in tech has been fueled by an insatiable curiosity for Artificial Intelligence, and I continuously seek to expand my expertise, whether it’s exploring modern data architectures, diving into machine learning workflows, or understanding how AI can reshape business decision-making. What sets me apart is my growth mindset. I believe every challenge is an opportunity to learn, and every project is a chance to get better. I’m not afraid to ask questions, dig deeper, or push the boundaries of what’s possible with data. My goal is simple: to build smart, efficient systems that not only work but inspire. If you're looking for someone who brings technical depth, business understanding, and a relentless drive to grow, I’d love to connect.
Graph RAG & Flowchart Extraction – Industrial AI Solutions (Japan) • Delivered a graph-based Retrieval-Augmented Generation (RAG) solution using Neo4j to simplify access to industrial equipment knowledge and accelerate onboarding, reducing time spent navigating complex documentation. • Achieved 96.32% accuracy in flowchart extraction by combining object detection (Florence Model), domain heuristics, and threshold tuning—exceeding the performance of standard GPT-4o pipelines. Safety Intelligence – Computer Vision for HSE (Malaysia) • Led the development of the "Line of Fire Estimation" feature, applying computer vision to detect suspended loads and predict their fall path, helping maintain worker safety zones and reduce on-site accidents. • Conducted sprint demos and led knowledge transfer sessions with leadership and data science teams during on-site engagements, ensuring project alignment and successful handover.
• Spearheaded technical skilling initiatives as the Aspire EIP Training and Skilling Lead across Asia, focusing on AI and cloud readiness for Emerging IT Professionals (EIPs) • Led a team of volunteers to organize impactful programs including Speed Mentoring sessions, hands-on training workshops, AI Skill Fest, and Reverse Mentoring engagements • Designed and executed the FY-26 AI Readiness Bootcamps to align regional talent with Microsoft’s strategic priorities in cloud and AI • Fostered a culture of peer learning and continuous upskilling through structured interventions, resulting in measurable improvements in confidence and technical capabilities across the cohort
• Performed as a team member in the Payments Page Team which is an extension of the Product Operations Team. Worked on Product Customization, Service Integration, Analytics, Quality Assurance, and Customer Management. • Added different components and features from scratch in Presto (framework of juspay built using purescript). • Working with a team on hyper-sdk an end-to-end platform for payments, completed a track that was aimed to improve the user experience for the merchants. • Worked with a team on Godel (Juspay Safe Browser) aimed to optimize the payments in iOS.
• Implemented Data Flows and Data Pipelines using Azure Data Factory and corresponding T-SQL Stored Procedures using SSMS for different Use Case Scenarios. • Optimized Data Loading Time from Blob Storage to SQL Database by 30% using Data Wrangling in Data Factory and Merge Operations in T-SQL Stored Procedures. • Created Role Based Dynamic Dashboards using Power BI for solving different Business Problems, embedded these Dashboards in our Web Portal. Web Portal was created using React with ASP.NET Core. Implemented APIs for CRUD operations, Azure Active Directory B2C and Azure Key Vault in our Web Portal. • Deployed our application using CI/CD Pipelines in Azure DevOps, Hosted our application in App Services.
• Modeled a CNN classifier to segregate patients with MDD (Major Depressive Disorder) and ND (Not Depressed) with the help fMRI Brain Signals. • Solved a Classification problem using KNN to classify different flickering circles of different frequencies which can be used for BCI (Brain Computer Interface) Applications. • Developed a P300 speller which can detect words with the help of P300 signals which get evoked when a subject gazes on a specific word on the P300 Speller.