D

Deepanshu Jha

Software Engineer

Bangalore Urban, Karnataka, India5 yrs 5 mos experience
Most Likely To Switch

Key Highlights

  • Spearheaded Flipkart Health Plus Platform launch.
  • Achieved 100-fold increase in SAP transaction throughput.
  • Ranked 11th out of 2500 in Cohesity TopCoder Challenge.
Stackforce AI infers this person is a Backend-heavy Fullstack Software Engineer in the Healthcare and Automation sectors.

Contact

Skills

Core Skills

Software DevelopmentCloud ComputingMicroservicesAutomationResearch

Other Skills

API ScalingAWSAlgorithmsAmazon Web Services (AWS)BigChainDBBlockchainBlockchain ArchitectureC (Programming Language)C++CDCCaffeine cacheCapsule Neural NetworkCascading Style Sheets (CSS)Customer SatisfactionData Preprocessing

About

➡ I'm Deepanshu Jha, a Software Engineer based in Bengaluru, with a passion for building innovative solutions that drive business success. With a strong foundation in software engineering & a proven track record of delivering impactful projects, I am committed to pushing the boundaries of technology to create exceptional user experiences. ➡ As a Senior Software Engineer at Flipkart Health Plus, I've been at the forefront of creating transformative solutions. I spearheaded the launch of the Flipkart Health Plus Platform, taking it from inception to a fully functional product. ➡ In addition, I also engineered digital fulfillment & warehouse systems, delivering a groundbreaking capability two months ahead of the flagship annual sale. I significantly boosted customer satisfaction scores by enabling digital "freebies" & led a team in developing a blockchain-based fraud detection POC. These projects have not only enhanced system performance, scalability, & reliability but also reduced manual effort & boosted user retention. ➡ Before Flipkart, at Airbus Group India Private Limited, I engineered a UiPath automation bot that led to a remarkable 100-fold increase in throughput in processing SAP transactions. ➡ My technical skills encompass a wide range, including Java, C, C++, Python, JavaScript, New Relic APM, Redis, MongoDB & a host of other technologies. I'm well-versed in microservices architecture, cloud computing (GCP & AWS), CI/CD, & have a strong background in unit testing & Mockito. ➡ I've contributed to the field of computer science with my publication on "User Classification in Keystroke Dynamics Using Autoencoder & Support Vector Classifier (SVC)." Additionally, I hold certifications as a Kubernetes Developer & Certified Blockchain Architect. ➡ Throughout my career, I've achieved notable milestones, including securing 1st place in the Flipkart Health Plus Hackathon 2023 & ranking 11th out of 2500 participants in the Cohesity TopCoder Challenge. I also earned the 2nd position in the AIT-UGCON Amalgam Project Competition & had a distinguished project recognized as one of the top 15 in India at the CSI InApp National Student Project 2019. ➡ I'm dedicated to continuous learning & innovation, & looking for opportunities to work on challenging & meaningful projects that can leverage my skills & expertise, as well as expand my horizons. I'm excited about the possibilities that lie ahead in the world of technology. Let's connect & explore opportunities to collaborate & create something extraordinary together.

Experience

5 yrs 5 mos
Total Experience
1 yr 9 mos
Average Tenure
2 yrs 3 mos
Current Experience

Phonepe

Software Engineer

Mar 2024Present · 2 yrs 3 mos · Bengaluru, Karnataka, India · On-site

  • I spearheaded initiatives that dramatically improved user onboarding and system performance.
  • Scaled the onboarding API to manage 10,000 requests per second, tripling throughput.
  • Integrated fraud detection into login and 2FA systems, reducing fraud incidents by 30%.
  • Designed a disaster recovery plan for 8 services, achieving 99.99% uptime with dual-region support.
User OnboardingSystem PerformanceAPI ScalingFraud DetectionDisaster RecoverySoftware Development+1

Bp

Software Engineer

Jan 2024Mar 2024 · 2 mos · Pune, Maharashtra, India · Hybrid

Flipkart

2 roles

Software Development Engineer 2

Promoted

Feb 2023Jan 2024 · 11 mos

  • Spearheaded the launch of the Flipkart Health Plus Platform 0-1, built gateway, a server-driven UI, a user cohort rule engine, & a universal interface for managing data APIs, for both Mobile & Desktop.
  • Leveraged Reactive programming to engineer the platform, to seamlessly manage 2000 concurrent requests while optimizing thread utilization.
  • Implemented gRPC to optimize intercommunication between microservices, reducing payload size by 50% & increasing throughput by 2x.
  • Developed Page Layer, a high-performance microservice handling up to 20k RPM, reducing server response time by 63% with a min latency of 40ms.
  • Instituted a suite of unit tests, SDLC documentation, & 4 Standard Operating Procedures (SOPs) to enable seamless onboarding of 10 new team members & streamline agile development for new page templates.
  • Fine-tuned the platform to effortlessly handle 50k requests per minute (RPM) with minimal resource consumption.
  • Slashed homepage load times from 2 seconds to under 500 milliseconds by orchestrating parallel calls & autonomous component processing.
  • Developed an intuitive page management dashboard, empowering business users to swiftly create & autonomously publish new pages with offers & campaigns, thereby accelerating time to market by 98%.
  • Compared load testing frameworks for the gRPC services, building PoC within 2 days, playing a pivotal role in selecting the optimal tool for load testing.
  • Conceptualized & built a comprehensive configuration-driven solution, simplifying load testing across 8 teams with minimal effort.
  • Designed an innovative AB experimentation platform for streamlined team onboarding, facilitating rapid AB testing of new features & controlled rollouts, ultimately expediting experimentation for 15 technical & business teams.
Platform LaunchReactive ProgramminggRPCMicroservicesUnit TestingSoftware Development

Software Development Engineer 1

Apr 2021Feb 2023 · 1 yr 10 mos

  • Engineered digital fulfillment & warehouse systems to support zero-priced digital products called FK Digital Freebie. Delivered this groundbreaking capability 2 months ahead of Flipkart's flagship annual sale.
  • Implemented the Mockito unit testing framework across digital fulfillment & digital warehouse services, elevating code test coverage to a robust 95%.
  • Yielded a remarkable 25% surge in customer satisfaction scores by enabling digital "freebies", empowering businesses to captivate customers & strategically incentivize purchases.
  • In Electronic Gift Voucher Fraud Detection POC, led a proficient team of 6 to develop a POC using BigChainDB, demonstrating the feasibility of blockchain based fraud detection to 10 key stakeholders.
Digital FulfillmentWarehouse SystemsMockitoCustomer SatisfactionSoftware DevelopmentAutomation

Airbus

2 roles

Software Engineer

Oct 2020Mar 2021 · 5 mos

  • • Improved VSR process by modifying file structure for storing attachments, resulting in a 60% reduction in human effort. Increased status reporting from 6 to 15 per transaction with automation.
Process ImprovementAutomationSoftware Development

Software Engineer

Aug 2020Sep 2020 · 1 mo

  • Engineered a UiPath automation bot to revolutionize processing millions of SAP transactions, resulting in a remarkable 100-fold increase in throughput.
  • Programmed UiPath to send passwords every 26 days to VMs with changed passwords & orchestrated the conversion of raw SAP data into actionable business insights.
UiPathSAP TransactionsAutomationSoftware Development

Indian institute of information technology

Research Intern

Dec 2018Jan 2019 · 1 mo · Allahabad Area, India

  • Conducted preprocessing of the DEAP Electroencephalography (EEG) Dataset featuring 40-channel brain signals, implementing data cleaning through mean value techniques and noise removal via the binning method.
  • Employed Principal Component Analysis to reduce dataset dimensions, addressing its considerable size.
  • Orchestrated the design of the Capsule Neural Network architecture tailored to the transformed dataset.
  • Evaluated model performance using key metrics: Accuracy, Sensitivity, Specificity, MAE, MSE, and Confusion Matrix.
Data PreprocessingPrincipal Component AnalysisNeural NetworksResearch

Education

Army Institute of Technology, Pune

Bachelor of Engineering — Computer Science

Jan 2016Jan 2020

The Army Public School

HSC — PCM

Apr 2014Mar 2015

The Army Public School

SSC

Apr 2012Apr 2013

Stackforce found 100+ more professionals with Software Development & Cloud Computing

Explore similar profiles based on matching skills and experience