Mar 2024 – Nov 2024 · 8 mos

• Corporation & Compliance Engineering:
• Here are a few noteworthy contributions:
• 1. Established and led a 10-12 member Corporation and Compliance Central Engineering team from scratch at Flipkart.
• 2. Collaborated with policy and legal decision-makers and compliance stakeholders to create strategic and technical roadmap to build simple, centralized, and observable solutions/platforms.
• 3. Enabled continuously compliant and trustworthy experiences by partnering with different engineering teams within Flipkart and its group companies such as Myntra and Cleartrip.
• 4. Focused on creating scalable, reliable, and compliant platforms to streamline compliance processes and enhance operational efficiency.
• 5. Conducted fair, meritocratic, and quality performance appraisals for the past 5 cycles, ensuring objective evaluations and fostering a culture of excellence and accountability.

Oct 2022 – Feb 2024 · 1 yr 4 mos

• Retail [Oct 2022 - July 2023]:
• Tech Lead adept at guiding a team of 8, including SDE3/2/1, PSE's and intern. Seamlessly merges technical expertise with people management for successful execution of complex cross cutting projects. Fosters innovation, collaboration, and tangible outcomes. Committed to talent growth, leveraging strengths, and project success.
• Contributed significantly to technical and domain-heavy areas like retailing and procurement. Led initiatives uniting technology and industry knowledge. Passionate about continuous learning, leading teams in robust coding and domain comprehension. Dedicated to motivating, fostering camaraderie, achieving results.
• Here are a few noteworthy contributions:
• 1. Contributed in terms of requirement, design and review for a versatile Data Ingestion Service capable of seamlessly onboarding any microservice for data synchronization.
• 2. Contributed in terms of requirement, design and review for a configurable Generic Auditing Service for effortless onboarding of any microservice
• 3. Introduced Schedule Lines, facilitating optimal inventory slot booking for retailers and vendors. This innovation positively impacts various metrics like resource utilization, NPS scores, working capital optimization, and overall planning and visibility.
• 4. Played a vital role in scaling up TaaS (Technology-as-a-Service) platform, employing microservices architecture. This platform enhances scalability, reliability, onboarding efficiency, and speed-to-market for retailing businesses. Contributions encompassed design, architecture, production, post-production support, business scaling, and the integration of new flows and features for the retailing sector., etc.
• 𝐒𝐤𝐢𝐥𝐥𝐬 𝐃𝐞𝐦𝐨𝐧𝐬𝐭𝐫𝐚𝐭𝐞𝐝:
• · Performance Management
• · Leadership
• · Strategic Roadmaps
• · Technology Roadmapping
• · People Management
• Corp & Compliance [Aug 2023 Onwards]:

Mar 2022 – Sep 2022 · 6 mos

Apr 2020 – Mar 2022 · 1 yr 11 mos

Jul 2018 – Apr 2020 · 1 yr 9 mos

• 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐛𝐚𝐬𝐞𝐝 𝐨𝐧 𝐫𝐞𝐯𝐢𝐞𝐰𝐬:
• It was an academic collaboration with IIT KGP. Objective was to come up with optimal function to suggest inspirational and avoidable products in a vertical/category for product development teams from available data points such as reviews, ratings, sentiments, sales data, ageing, etc addressing cold start problem, and other challenges.
• 𝐏𝐫𝐨𝐝𝐮𝐜𝐭 𝐏𝐫𝐨𝐩𝐨𝐬𝐞𝐫:
• A system which can propose products to be launched under private label brands based on various success metrics. We carried out multiple POCs and built certain vertical/category specific models using various AI/ML/DL approached such as GAN, image processing, etc for category such as lifestyle, large home appliances, etc, leveraging catalogue/sales/review/rating/sentiment data points.
• Uses:
• Both the above products helped private level teams understand what to launch in a vertical/category directly taking inspiration from the proposed products along with insights for different aspects of those products to focus such as functional and design aspects and validating against the avoidable products to ensure better run rate in terms of increased sales/margin/customer NPS/brand placement/etc along side significantly controlled RTO/RVP metrics.
• Contributions:
• Coordinated with Flipkart Data Science Team along with Prof. Sudeshna Sarkar from IIT KGP, right from formalisation of problem statement till implementation and evaluation by mentoring intern from IIT KGP for first part. Worked on several POC's along with team for second part.

Nov 2017 – Dec 2017 · 1 mo

• 𝐌𝐚𝐫𝐤𝐞𝐭𝐢𝐧𝐠 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭:
• Features: Platform with similar experience as that of flipkart.com for carrying out different experiments with a set of users for a different product before their actual launch to understand a number of organic factors affecting the success of a product.
• Uses:
• To learn about various organic factors driving purchasing decision for products such as product placement, title, catalog attributes and images, review and ratings, etc. before launch and after conceptualization of physical product.
• To understand various product attributes such as color, design, etc which are playing an important role for the product to be successful before conceptualization of the physical product.
• Tech stack: Java, MySql, Hibernate, Dropwizard, Maven
• Contributions:
• Coordinated with multiple teams across Flipkart to bring synergy for solution and implementation of changes as discussed. Architecture, HLD, LLD, implementation and carrying out multiple pilots.

Jul 2017 – Jun 2018 · 11 mos

• 𝐓𝐞𝐱𝐭 𝐀𝐧𝐚𝐥𝐲𝐬𝐞𝐫:
• Features: Extraction of aspects/features and corresponding opinions along with sentiment and other insightful data from different text such as review/return comments for products, seller comments, NPS(customer, seller, return, etc) data, etc with interpretability.
• Uses:
• To build differentiated products for different private label brands.
• To understand NPS in various dimensions such as sellers, customers, returns, etc.
• To provide a better recommendation of products to customers.
• To provide better visibility into products while making a purchasing decision.
• Using insights to frame marketing campaigns.
• How: We used NLP(like dependency parsing, POS tagging, etc using different libraries such as spacy, NLTK, etc), machine learning algorithms(such as random forest for opinion classification), deep learning(word2vec for clustering, fasttext for sentiment analysis, etc) and statistical techniques(for pruning and better interpretations).
• Tech stack: Python, Flask, Django, ElasticSearch, PySpark
• Contributions: Went through various existing work in this field, carried out different POCs, connecting the dots between various legs of the problem and their solution with proper interpretation, Architecture, HLD, LLD.

Dec 2015 – Jun 2017 · 1 yr 6 mos

• 𝐍𝐨𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦:
• Highly scalable, robust, performant and highly available system, which consumes events from multiple systems(internal as well as external), enriches those events calling multiple services(internal as well as external) as per subscriptions and publishes events in the desired formats to all respective subscribers(internal as well as external).
• Uses: Different system within fulfillment ecosystem can publish the self-sufficient event to notification system(without directly catering to demand of different systems which involves a lot of complexities), to which a host of clients had subscribed for different events in different formats, which can serve for the cases where multiple incoming events can be mapped with multiple outgoing events, which can further require enrichment of some/all the events from multiple systems.
• Tech stack: Java, message broker, Spring Boot, JSON, MySql, Redis Cache, Tomcat, Hibernate, Velocity template engine, Slf4j, Build(Gradle, Findbugs, Checkstyle), Testing(JUnit, Mockito), IDE(IntelliJ Idea, Eclipse)
• Contribution: Architecture, HLD, LLD, implementation from scratch and productionisation. Within a few days of evangelizing, the system was easily able to cater more than10 million events a day.
• 𝐎𝐫𝐜𝐡𝐞𝐬𝐭𝐫𝐚𝐭𝐨𝐫 𝐟𝐨𝐫 𝐄𝐧𝐝 𝐭𝐨 𝐄𝐧𝐝 𝐒𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧:
• Scalable, robust, performant and highly available and stateless workflow orchestration framework/platform involving dynamic state machine, multi-threaded action graph execution, and runtime mappings.
• Uses: To orchestrate shipments across the supply chain network from Warehouse/Seller to Customer Delivery.
• Tech stack: Java, Maven, Vitess, Dozer, message broker, Spring Boot, JSON, MySql, Guava Cache, Hibernate
• Contribution: Contributed to evangelizing of the system for various business use cases while contributing to making the product mature, bug-free, adding new features for catering all the use cases defined in the scope.

Oct 2015 – Nov 2015 · 1 mo

• 𝐒𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝 𝐃𝐨𝐦𝐚𝐢𝐧 𝐌𝐨𝐝𝐞𝐥𝐢𝐧𝐠:
• Involved with defining standard domain model library for supply chain which can be used across all the services in the domain.
• 𝐑𝐞-𝐚𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞 𝐨𝐟 𝐬𝐮𝐩𝐩𝐥𝐲 𝐜𝐡𝐚𝐢𝐧 𝐚𝐧𝐝 𝐚𝐜𝐜𝐨𝐦𝐦𝐨𝐝𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐝𝐢𝐟𝐟𝐞𝐫𝐞𝐧𝐭 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐟𝐥𝐨𝐰𝐬:
• Involved with understanding all the current and futuristic shipment flows for both inventory and non-inventory based supply chain and accommodating same with re-architecture of the supply chain.

Jul 2015 – Sep 2015 · 2 mos

• 𝐒𝐮𝐫𝐟𝐚𝐜𝐞 𝐒𝐜𝐚𝐥𝐞𝐔𝐩 𝐟𝐨𝐫 𝐒𝐮𝐩𝐩𝐥𝐲 𝐂𝐡𝐚𝐢𝐧 𝐢𝐧 𝐅𝐥𝐢𝐩𝐤𝐚𝐫𝐭:
• Functional enhancements of the existing logistics platform to enable a new Economy Service type for national level shipments transfer via surface to save cost, increase priority based on customer escalation, etc using enhanced dynamic network configuration based on load to deal with constraints such as physical space and cost.
• Uses: Project helped to scale supply chain during annual sales events such as Big Billion Day Sale, etc without increasing the capacity of physical space across all the fulfillment centers, reducing cost at the same time by fulfilling more orders via surface instead of air(which also have it's capacity constraints).
• Tech Stack: Java, Hibernate, MySql, Dropwizard, maven, GWT
• Contribution: Solution, collaboration with different teams, HLD, LLD, Implementation, Pilot. We carried out successful pilots in 2 fulfillment centers before 2015 BBD which helped to scale during BBD pan India. This also gave a good saving of around 4-5 CR per months right from the starting.
• 𝐒𝐲𝐬𝐭𝐞𝐦 𝐒𝐭𝐚𝐛𝐢𝐥𝐢𝐬𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐧𝐞𝐰 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧:
• Involved in solution and implementation of multiple features across mother hubs for supporting BAU use cases from time to time. Dealt with some of the interesting tech problems such as tunning different MySQL configurations based on individual service need, understand Vitess and onboarding some of the use cases relevant to it on the tech stack, etc.

Jul 2014 – Apr 2015 · 9 mos · Bangalore, India

• 𝐑𝐞𝐯𝐚𝐦𝐩 𝐨𝐟 𝐌𝐚𝐫𝐤𝐞𝐭𝐩𝐥𝐚𝐜𝐞 𝐟𝐥𝐨𝐰:
• Involved with functional as well as non-functional revamp of the marketplace (non-inventory) shipment flow for solving reliability, scalability and accountability issues with sudden scale.
• 𝐀𝐥𝐭𝐞𝐫𝐧𝐚𝐭𝐞 𝐃𝐞𝐥𝐢𝐯𝐞𝐫𝐲 𝐌𝐨𝐝𝐞𝐥:
• Involved in implementation of Alternate Delivery Model, a completely new logistics concept for pickup centers which facilitates customers to pick their shipment at their convenience from their nearest center.
• 𝐖𝐞𝐢𝐠𝐡𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐚𝐧𝐝 𝐚𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧:
• Functional enhancements of the existing marketplace logistics platform to enable the concept of weighing intelligence and automation based on historical data (considering both volumetric as well as actual weight for each shipment) for same FSN’s to eradicate error in weighing and improve productivity, the weight being one of the most deciding factors for logistics cost.
• 𝐎𝐧𝐛𝐨𝐚𝐫𝐝𝐢𝐧𝐠 𝐨𝐟 𝐬𝐞𝐥𝐥𝐞𝐫 𝐡𝐨𝐥𝐢𝐝𝐚𝐲 𝐟𝐞𝐚𝐭𝐮𝐫𝐞:
• Involved with functional enhancements in the existing marketplace logistics platform by integrating with Seller Platform for capturing information related to seller holidays to avoid unnecessary pickup attempts for seller shipments.
• 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤𝐬: Java, Ruby, Hibernate, MySql, maven, Ruby on Rails

Jun 2014 – May 2015 · 11 mos · Bhubaneshwar Area, India

May 2014 – Jun 2014 · 1 mo · Bhubaneshwar Area, India

• 𝐅𝐞𝐚𝐭𝐮𝐫𝐞 𝐄𝐧𝐡𝐚𝐧𝐜𝐞𝐦𝐞𝐧𝐭 𝐟𝐨𝐫 𝐮𝐧𝐰𝐨𝐫𝐤𝐚𝐛𝐥𝐞 𝐡𝐚𝐫𝐝𝐰𝐚𝐫𝐞𝐬 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲:
• Involved with understanding and development of Odisha Government e-governance MIS Transaction System for report generation for monthly hardware details at each urban and rural segment.

Aug 2013 – Jun 2016 · 2 yrs 10 mos · Bhubaneshwar Area, India

• Campus Induction is a joint venture instituted by 4 members. Adducing from its name, it has been established to induce a change in the personality of an individual. The goal is to foster learning opportunities for students, engender professionalism and instill confidence into them in addition to pushing them forward to stretch their potentials.

May 2013 – Jul 2013 · 2 mos · Noida Area, India

• J2EE - with Struts Framework

Feb 2013 – Feb 2014 · 1 yr · Bhubaneswar, India

• Established in 2004, the ICDCIT conference series has become a platform for Computer Science researchers from India and all over the world to exchange research results and ideas on the foundations and applications of Distributed Computing and Internet Technologies.
• The 10th International Conference on Distributed Computing and Internet Technologies (ICDCIT-2014) will take place in Bhubaneswar during 6th - 9th February 2014. It will be organized by KIIT University, Bhubaneswar, India.
• https://www.icdcit.ac.in

Jan 2013 – Feb 2013 · 1 mo · Bhubaneshwar Area, India

• Established in 2004, the ICDCIT conference series has become a platform for Computer Science researchers from India and all over the world to exchange research results and ideas on the foundations and applications of Distributed Computing and Internet Technologies.
• The 9th International Conference on Distributed Computing and Internet Technologies (ICDCIT – 2013) will take place in Bhubaneswar during 5 – 8 February 2013. It will be organized by KIIT University, Bhubaneswar, India. Like the last eight editions, the proceedings are expected to be published by Springer in the series of Lecture Notes in Computer Science.(http://www.icdcit.ac.in/archive/2013/index.html)

Jun 2012 – May 2013 · 11 mos · KIIT University,Bhubansewar

• Campus Relationship Ambassador

May 2012 – Jul 2012 · 2 mos · Varanasi Area, India

• Study of Shortest Path Algorithm

Apr 2012 – Apr 2013 · 1 yr · KIIT University, Bhubaneshwar Area, India

• Solar Rickshaw Project