{"data":{"jobs":{"edges":[{"node":{"frontmatter":{"title":"Software Development Engineer","company":"FamPay","location":"Bengaluru, India","range":"April 2024 - Ongoing","url":"https://fampay.in/"},"html":"\n- Architected and owned the high-revenue Giftcards service (₹10 Million/month), leveraging Temporal for workflow orchestration and gRPC, Kafka for inter-service communication; collaborated with third-party providers and the recon team for DSR reconciliation, also implemented distributed tracing for improved observability.
\n- Revamped the invoicing service to process 150k invoices/day with atomicity and resiliency guarantees; eliminated duplicate invoice generation and finance-reported mismatches, cutting dev intervention for reconciliation to zero.
\n- Directed a 3-person team to integrate a high-priority BGMI gift card vendor from conception to production in a record 3 days; accelerated technical decisions and code reviews to unlock a GMV of ₹20 Million/month.
\n- Owned India’s largest PPI mandate ecosystem for global merchants; ensured platform compliance by actively blocking fraudulent, non-KYC and inactive users resulting in the revocation of 30k+ ineligible mandates per month.
\n- Architected the end-to-end refunds flow for PPI transactions using NPCI adjustment reports, owning the full lifecycle from report ingestion to final settlement; processes 15k+ adjustment records daily, triggering 90k+ refunds/month with high reliability and idempotency.
\n- Authored the TRD and migrated the coupons service from monolith to a vertically isolated module in the giftcards service; mentored 2 interns end-to-end across the SDLC; engineered support for reliable and fast bulk ingestion of 1M+ rows per run from S3 to PostgreSQL via aws_s3 extension.
\n- Designed and implemented the In-App P2M transaction flow in TPAP using gRPC for communication and the outbox pattern for Kafka message relay, processing 100k+ monthly in-app debits.
\n
"}},{"node":{"frontmatter":{"title":"Backend Developer Intern","company":"Carnot Technologies","location":"Pune, India","range":"September 2023 - February 2024","url":"https://www.carnot.co.in/"},"html":"\n- Added Redis trigger and event log API in Gamaya Analytic Launcher, enhancing data tracking and analysis capabilities.
\n- Utilized Metabase for creating dashboards and visualizations, improving the team's data analysis and monitoring efforts.
\n- Established a PostgreSQL database, optimized data management with an upsert query, and led data migration projects to enhance performance.
\n- Automated the shape-cleanup process with a FastAPI server, streamlined code migration, and addressed integration challenges.
\n
"}},{"node":{"frontmatter":{"title":"Summer Analyst Intern","company":"Barclays","location":"Pune, India","range":"June - August 2023","url":"https://home.barclays/"},"html":"\n- Worked in RDS core API team and developed a logging-portal application which utilizes Spring-Boot and enables users to download filtered logs from deployed pods to their client machines.
\n- Designed & implemented efficient algorithm to filter logs using correlation-id which significantly lowered processing time.
\n- Concurrent request handling was optimized by eliminating the reliance on file system resources for intermediate processing and implementing thread-safe components to prevent race conditions.
\n- Implemented centralized exception handling using ControllerAdvice incorporating custom exceptions, and conducted comprehensive unit testing using JUnit and Mockito.
\n
"}},{"node":{"frontmatter":{"title":"SDE Intern","company":"Decentro","location":"Remote","range":"February - May 2023","url":"https://decentro.tech/"},"html":"\n- Developed a cutting-edge ML model utilizing YOLO for robust object detection & integrated this model seamlessly with AWS-Textract OCR service to create a highly efficient and accurate Aadhaar and PAN KYC API.
\n- Achieved significant optimization in Aadhaar-KYC API by implementing an efficient data extraction technique from Aadhaar Secure QR, resulting in a remarkable reduction of around 10 seconds in the turnaround time.
\n- Designed and implemented a highly accurate in-house Aadhaar-Masking API utilizing a ML model, achieving an impressive accuracy of 98% which obfuscates the first 8 digits of Aadhaar Number for any format.
\n
"}},{"node":{"frontmatter":{"title":"Research Intern","company":"PICT","location":"Pune, India","range":"February - March 2023","url":null},"html":"\n- Developed a Python-based file backup system for organizing unstructured data; implemented version control for enhanced performance and scalability, enabling multiple users to initiate backups and access previous versions.
\n- Engineered a TCP socket-based distributed incremental backup system, enhancing file retrieval and enabling content-based searching.
\n- Implemented abstractive document summarization using the Pegasus and Hugging Face models, extracted top 10 keywords with KeyBERT, and identified PII data using the spaCy library.
\n
"}},{"node":{"frontmatter":{"title":"Web Development Intern","company":"Seekmy Technology","location":"Remote","range":"April - June 2022","url":"https://www.linkedin.com/company/seekmy"},"html":"\n- Used PostgreSQL, Node.js, Express.js and Exotel notification service to implement authentication without login and register process thereby improving overall user experience.
\n- Optimised queries using indexing and other query optimisation techniques which reduced the response time by 30%.
\n- Back-end lead - Collaborated with team members to design implement algorithm for slots,booking service which also handles recurring slots, SMS notifications, IVR features.
\n
"}}]}}}