Sep 2024 – Dec 2024 · 3 mos · Pittsburgh, Pennsylvania, United States · On-site

• 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 𝗳𝗼𝗿 𝗘𝗳𝗳𝗲𝗰𝘁𝗶𝘃𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 (𝗧𝗘𝗘𝗟) 𝗟𝗮𝗯, 𝗦𝗰𝗵𝗼𝗼𝗹 𝗼𝗳 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 (𝗦𝗖𝗦)
• Assisting in improving course materials, providing quality assurance, and offering student support for AI Technicians coursework (focused on Python and Data Engineering) designed specifically for US Army personnel.

Jun 2024 – Aug 2024 · 2 mos · Menlo Park, California, United States · On-site

• 𝗖𝗜 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺 (𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻)

Mar 2024 – May 2024 · 2 mos · Pittsburgh, Pennsylvania, United States · On-site

• 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗤𝘂𝗮𝗹𝗶𝘁𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝟭𝟳-𝟲𝟰𝟯)
• Course offered by the Software & Societal Systems Department (S3D) in the School of Computer Science at Carnegie Mellon University.

Jan 2024 – May 2024 · 4 mos · Pittsburgh, Pennsylvania, United States · On-site

• 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝗖𝗼𝗻𝘀𝘂𝗹𝘁𝗶𝗻𝗴 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 (𝟲𝟳-𝟯𝟳𝟯)
• Course offered by the Heinz College of Information Systems and Public Policy at Carnegie Mellon University.

Jan 2024 – Mar 2024 · 2 mos · Pittsburgh, Pennsylvania, United States · On-site

• 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝟭𝟳-𝟲𝟯𝟮)
• Course offered by the Software & Societal Systems Department (S3D) in the School of Computer Science at Carnegie Mellon University.

Oct 2022 – Jul 2023 · 9 mos · Noida, Uttar Pradesh, India · Hybrid

• 𝗖𝗮𝗽𝗮𝗰𝗶𝘁𝘆, 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 𝗮𝗻𝗱 𝗣𝗿𝗼𝘃𝗶𝘀𝗶𝗼𝗻𝗶𝗻𝗴 (𝗖𝗦𝗖𝗣) 𝗈𝗋𝗀𝖺𝗇𝗂𝗓𝖺𝗍𝗂𝗈𝗇 𝗎𝗇𝖽𝖾𝗋 𝖬𝗂𝖼𝗋𝗈𝗌𝗈𝖿𝗍’𝗌 𝖢𝗅𝗈𝗎𝖽+𝖠𝖨 𝖻𝗎𝗌𝗂𝗇𝖾𝗌𝗌
• 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗥𝗲𝗹𝗲𝗮𝘀𝗲: Orchestrated the implementation and release of an event-based application written in #C, .NET, Python, TypeScript and Angular from prototype to production in Azure Service Fabric, enabling supply chain planners to plan and order buffer quantities of critical hardware parts worth $120M monthly
• 𝗘𝗧𝗟 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲 / 𝗨𝘀𝗲𝗿 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲: Automated validation and ingestion of latest unit prices and lead times of 80K hardware parts from sourcing databases into Capacity Planning tools using Python & Apache Spark in Azure Synapse Workspace, reducing manual efforts of end-users by 12 hours per month
• 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗚𝗮𝘁𝗵𝗲𝗿𝗶𝗻𝗴: Partnered with key stakeholders to identify gaps in business requirements, translate business use cases to feature specifications, refine API design & documentation for product features to influence strategic decisions, cutting down development costs for user stories by 30% for Q1 and Q2 2023
• 𝗦𝘁𝗮𝘁𝗶𝘀𝘁𝗶𝗰𝗮𝗹 𝗠𝗼𝗱𝗲𝗹𝗶𝗻𝗴: Conducted A/B experiments to enhance global supply chain predictive models for Azure Data centres by incorporating lead-time variance and demand variance parameters, elevating accuracy by 10% in predicting buffer quantities for various hardware parts
• 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴: Optimized Azure CosmosDB account configurations saving $15,000 annually in cloud infrastructure costs for Capacity Planning programs by enhancing throughput efficiency and resource utilization
• 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Presented 3 monthly business reviews and 2 information sessions, delivering crucial insights on project architecture and delivery status

Aug 2020 – Sep 2022 · 2 yrs 1 mo · Hyderabad, Telangana, India

• 𝗗𝗮𝘁𝗮 𝗣𝗿𝗼𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝘀 𝗮 𝗦𝗲𝗿𝘃𝗶𝗰𝗲 (𝗗𝗣𝗮𝗮𝗦) 𝗍𝖾𝖺𝗆 𝗎𝗇𝖽𝖾𝗋 𝗍𝗁𝖾 𝖤𝗇𝗍𝖾𝗋𝗉𝗋𝗂𝗌𝖾 𝖳𝖾𝖼𝗁𝗇𝗈𝗅𝗈𝗀𝗒 𝗈𝗋𝗀𝖺𝗇𝗂𝗓𝖺𝗍𝗂𝗈𝗇
• 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 / 𝐌𝐋 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: Spearheaded a 3-member cross-functional team to integrate a hybrid (NLP + ANN) machine learning model with data protection products to identify PII/PCI/PHI columns, saving 2 SME days per dataset, and reducing SME costs by $80,000 for FY 21-22
• 𝗣𝗿𝗼𝗯𝗹𝗲𝗺-𝗦𝗼𝗹𝘃𝗶𝗻𝗴 / 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 𝗗𝗶𝘀𝗰𝗼𝘃𝗲𝗿𝘆: Ideated and implemented a microservices-based application using Java, Springboot and Groovy, reducing client onboarding time by 50% by releasing 4-5 SME days/client
• 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 / 𝗞𝗲𝘆 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗜𝗻𝗱𝗶𝗰𝗮𝘁𝗼𝗿𝘀 (𝗞𝗣𝗜𝘀): Engineered a real-time dashboard on Grafana for monitoring engineering and business metrics (SLAs) using Azure Functions and PostgreSQL, to cut manual reporting time by 1 hour per day and simultaneously foster data-driven business analysis
• 𝗪𝗲𝗯 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 / 𝗘𝗻𝗴𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Revamped the UI/UX of the product frontend using Javascript and React, boosting engagement by over 100% and revenue by 40%
• 𝗧𝗲𝗮𝗺𝘄𝗼𝗿𝗸 / 𝐏𝐫𝐨𝐭𝐨𝐭𝐲𝐩𝐢𝐧𝐠: Collaborated with data engineers and senior leadership to devise a proof of concept and one-year product roadmap for in-house data protection algorithms, potentially saving $1.25M annually in third-party licenses
• 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗘𝘅𝗰𝗲𝗹𝗹𝗲𝗻𝗰𝗲: Improved unit test cases for large-scale data protection services, encompassing streaming, REST, and file-based backend services using JUnit 5, increasing production code coverage from 55% to 89%

Jun 2019 – Aug 2019 · 2 mos · Hyderabad, Telangana, India

• ROLE: Project Intern in the field of Data Services
• Developed a Streaming ETL Pipeline in order to do Real-Time Data Processing and visualization of various problem-specific Key Parameter Metrics (KPM) on a Real-Time Dashboard.
• Tested the limitations & efficiency of Apache Kafka’s KSQL for Data Processing over standard Kafka Streams’ Client JVM Applications.
• IMPACT/OUTCOME:
• Gained immense knowledge and hands-on experience on various technologies like Apache Kafka, Zookeeper, Kafka Connect, KSQL, Elasticsearch, and Kibana.
• Learned to deploy the above micro-services on a Local Virtual Machine run on Linux(Ubuntu18.04) as well as on Kubernetes.

Jun 2018 – Jul 2018 · 1 mo · Noida Area, India

• ROLE -
• Worked on on-going projects for clients like British Telecom Group.
• Worked on a PoC for Vodafone’s Product Recommendation application.
• IMPACT/OUTCOME -
• Provided BT Group a detailed report/dashboard for their problem statement regarding ‘Error Ticket Analysis’ by analysing the dataset provided by them using Time Series analysis
• Provided Vodafone with a probabilistic model on a small Dataset (Pilot Run) for their Recommendation Engine.

Aug 2016 – Nov 2016 · 3 mos · New Delhi Area, India

• ROLE – Teaching Volunteer and Digital Media Head
• Conducted weekly classes for the under-privileged section of society in government schools for kids of 6th – 8th grade, under the initiative of ‘Prayogshala’
• Lead a team of Photographers, Videographers, Graphic Designers to create online content.
• IMPACT/OUTCOME -
• Inculcated knowledge and practical skills in students on topics like Electricity, Hydraulics, Magnetism,etc
• Created impactful & meaningful social media content, which in turn helped in increasing
• Prayogshala’s social media presence.