Headline

Lead Software Engineer @ PhonePe | Ex - bp, Flipkart | Driving Innovation & Business Growth through Technology | Building User-Centric Solutions | Flipkart Certified Kubernetes Developer | Certified Blockchain Architect

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.

Location

Bangalore Urban

AI stack

aistudio

langchain

langgraph

openai

Work experience

Lead Software Engineer at PhonePe, Mar 2024 - Present · 2 yrs 4 mos, Bengaluru, - Led a proficient team of 5 engineers to overhaul the user onboarding funnel for 1 million+ trading accounts, boosting KYC conversion from 40% to 90% (a 125% increase) and raising overall account creation efficiency by 50%. - Engineered a high-performance off-heap caching system using RocksDB, slashing service-to-service latency from 100ms to 2-5ms, and created a snapshot library for efficient cache warm-up via SFTP download and incremental updates. - Architected a multi-agent framework for automated code assessment, vulnerability identification, and threat detection, leveraging LLM-as-Judge to ensure superior output accuracy, yielding a 95% evaluation success rate and a 25% reduction in production defect density. - Consolidated external vendor connectors into a centralized integration platform, simplifying maintenance and reducing complexity due to vendor instability. - Integrated fraud detection into login and 2FA systems, reducing fraud incidents by 30% and blocking 500+ fraudulent users daily. - Engineered high-scale infrastructure by scaling the onboarding API to handle 10,000 requests per second (3x throughput) and developing a CDSL bulk processing framework to process 1000+ requests per minute, reducing processing time by 50%. - Enhanced platform reliability and security, achieving 99.99% uptime for 8 core services through a dual-region disaster recovery plan.

Software Engineer at bp, Jan 2024 - Mar 2024 · 3 mos, Pune, Maharashtra, India

Software Development Engineer 2 at Flipkart, Feb 2023 - Jan 2024 · 1 yr, Bengaluru, Karnataka, India, • 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.

Software Development Engineer 1 at Flipkart, Apr 2021 - Feb 2023 · 1 yr 11 mos, Bangalore Urban, Karnataka, India, • 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.

Software Engineer at Airbus, Oct 2020 - Mar 2021 · 6 mos, Bengaluru, Karnataka, India, • 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.

Software Engineer at Airbus, Aug 2020 - Sep 2020 · 2 mos, Remote, • 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.

Research Intern at Indian Institute Of Information Technology, Dec 2018 - Jan 2019 · 2 mos, 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.

Education

Bachelor of Engineering, Computer Science, Army Institute of Technology, Pune

HSC, PCM, The Army Public School