Apr 2024 – Aug 2025 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

Apr 2023 – Jun 2023 · 2 mos · Bengaluru, Karnataka, India · Hybrid

• Awarded PPO | Project involved: Analyzing 4 large US retail clients, Comparing 2 WMS, Developing Doc Filtering Soln
• Business Impact:
• Attained 10x productivity gain by achieving overhead time reduction of 90% (50min to 5min) by implementing OCR system
• Designed a roadmap for developing omnichannel capabilities by integrating retail stores with distribution networks
• Warehouse Management System (WMS):
• Improved margins by 20% over the previous cloud solution by implementing & migrating to Manhattan Active Omni
• Achieved 30% performance improvement on Oracle Cloud Infrastructure, compared to on-premises servers
• Projected saving of $1 Million+ by utilizing 25% fewer resources in operational expenses by upgrading to Manhattan

Oct 2019 – May 2022 · 2 yrs 7 mos · Bangalore · On-site

• Impact
• Saved $80,000 per year in storage costs by consolidating multiple databases in a single server, with fault-tolerance
• Achieved cost-reduction of $50,000 per year by reducing Big Data ingestion time by 50% by researching Big Query
• Attained reduction of 50% in the effort time, saving 50+ hours per month by automating the schema changes
• Initiatives
• Impacted 3 Million people by designing 20 ML features to calculate risk scores and help in extending credit
• Decreased the replication lag by 99.99% from 30 minutes to 1 millisecond to achieve real-time replication
• Responsibility
• Handled a Big Data system that processed 500+ TB of data on a daily basis distributed among 50+ databases
• Leadership
• Liaised with 10+ teams | Mentored 4 interns for 6 months | Delivered tech talks to 300+ at 5 monthly conferences

Aug 2019 – Dec 2019 · 4 mos

• Write articles related to Linux.

Aug 2018 – Oct 2019 · 1 yr 2 mos · Noida Area, India · On-site

• Impact
• Generated $40 Million+ per year of revenue inflow by engineering and enhancing Soundbox and Smart POS
• Achieved $250,000 cost-saving by reduction of 75% in effort time by automating manual jobs of onboarding agents
• Accelerated merchant onboarding by 100% from 150K to 300K by implementing: All-in-one and Dynamic QR
• Optimization
• Optimized by 67% the backend panel, reducing the search time from 30s to 10s by integrating Elastic Search
• Enhanced by 80% (from 50ms to 10ms) the node-searching time by programming Floyd-Warshall algorithm
• Leadership
• Worked with 100+ employees across 6 divisions | Interviewed 20+ candidates leading to 6 successful hires

Jun 2018 – Aug 2018 · 2 mos · Gurgaon, Haryana, India

• Work for the C-Shap and CRM team that handles the ticket raising system of users and merchants respectively. Used PHP, Javascript, Apache Kafka for the same. Added various new filters for the C-Shap team and contributed from the basic for the CRM team. Fully based on LAMP stack.

Nov 2017 – May 2018 · 6 mos · Jamshedpur Area, India

• Branch head for the department of Computer Science and Engineering. Organised various events under Vishwa Codegenesis. Worked for bringing sponsors, making problems, managing the whole events and delegating the work to various coordinators.

Aug 2017 – May 2018 · 9 mos · Jamshedpur Area, India

• Organised various coding contests, and gave workshops on Linux, git, programming etc, for juniors to help them learn new technologies and get introduced to this wonderful world of programming.

May 2017 – Jul 2017 · 2 mos · Delhi

• Worked as an API developer, using Django REST to work on a project for delegation of emails. The software could be used to delegate your emails giving various permissions folder-wise and mail-wise. You can also add various filters.

May 2016 – Jul 2016 · 2 mos · Jamshedpur

• Developed website of newest addition to IIITs - IIIT Ranchi from the scratch. Designed its database, and whole framework. Fully based on LAMP stack.

Aug 2014 – Jan 2017 · 2 yrs 5 mos · Jamshedpur Area, India

• Developed the website of NIT Jamshedpur. We migrated the database to a new schema that was much more normalised and efficient compared to the old database. Changed the window-based server to Linux-based. Changed template using bootstrap, and then later used Materialize. Fully based on LAMP stack.