Headline

Associate Director of Engg @udaan.com | ex -Oracle

About

Experienced Associate Engineer with a demonstrated history of working in the Software industry. Skilled in Python,Data Structures,Algorithms,Machine Learning, C++, C,Eclipse, Java.Strong engineering professional with a Bachelor’s Degree focused in Computer Science from NIT Jalandhar.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

langchain

langgraph

Work experience

Associate Director of Engineering at udaan.com, Jan 2025 - Present · 1 yr 9 mos, Led engineering for core fintech and supply-chain platforms, owning architecture, SDLC, quality, cost,and reliability across multiple product lines handling millions of daily transactions. 🔹 Accounts Receivable System (End to End SDLC Ownership) • Architected and delivered a unified Accounts Receivable Platform powering multi-mode payments, automated credit approvals, real-time credit limit enforcement, and reconciliation workflows. • Introduced structured SDLC practices, design reviews, fault modelling, observability standards. • Established scalable patterns for workflow orchestration, error recovery, and data consistency across financial systems. 🔹 Payment System Modernization (70% Infra Cost Reduction) • Led complete rebuild of Udaan’s legacy payments stack into a scalable, resilient, cost- efficient platform. • Reduced infrastructure spend by 70% through architectural simplification, optimized compute usage, and efficient datastore access patterns. • Increased transaction throughput and platform uptime by implementing robust circuit breaking, retry policies, and horizontal scaling frameworks. 🔹 Trade Credit Platform (High Availability & High Scale) • Architected a high-scale microservices-based trade credit system using PostgreSQL with 99.9999% availability and optimized read/write paths. • Implemented real-time credit scoring and risk evaluation pipelines to support instant decisioning. • Built event-driven loan lifecycle workflows to automate notifications, repayments, and defaulters handling—significantly reducing credit risk and manual intervention.

SDE IV at udaan.com, Sep 2020 - Feb 2025 · 4 yrs 6 mos, Bengaluru, Karnataka, India, 🔹 Inventory Planning & Replenishment (AI/ML-Driven Forecasting) • Architected replenishment systems incorporating AI/ML demand forecasting, improving product availability while minimizing working capital. • Built scalable data flows, forecasting pipelines, and decision automation to support category teams with accurate, real-time inventory recommendations. 🔹 Marketplace Catalogue • Designed and implemented the Marketplace Catalogue for Food-FMCG, enabling seamless listing and product creation for marketplace sellers. • Established strong data integrity, validation, and workflow automation to support marketplace operations.

Member of the Technical Staff at Oracle, Jul 2018 - Sep 2020 · 2 yrs 3 mos, Bengaluru Area, India, • Design and develop Autonomous Health Services using Machine Learning for the Oracle Autonomous DB. Autonomous Health Services includes Real-time health monitoring,diagnosis and root cause analysis via a single interface, Secure log redaction, Continuous incident and log life cycle management, Anomaly timeline using ML with fault prediction & corrective action. • Developed and owned Anomaly detection for Autonomous DB Health with Fb Prophet.

Software Engineer at Sandvine, Apr 2017 - Jun 2018 · 1 yr 3 mos, Bengaluru Area, India, • Built deep learning models in TensorFlow for Streaming vs Web traffic classification, improving traffic categorization for network policy engines. • Implemented VPN traffic classification using Random Forests to enhance detection accuracy for encrypted flows. • Developed ML-driven device inference behind NAT using TCP fingerprinting.

Associate Software Engineer at Unisys, Jun 2015 - Apr 2017 · 1 yr 11 mos, Banglore, # 1 Technology Focus Group :- Worked in Technology Focus Group for research purpose and did some proof of concepts : 1) Image Classification with the help of Deep learning.This project is generalized for the Image classification .Using deep neural networks with the help of tensorflow framework the supervised Model is trained. 2) Malware Detection with the help of Machine Learning. With the help of Random Forests and boosting techniques increased the accuracy and F Score to detect whether the data belongs to Malware or Non Malware. #2 Server Virtualization Product sPAR: - sPAR is a secured partitioning software (Act as Ultravisor or Virtualization) for Unisys clear Path mainframes. 1) Worked in Port flexibility feature that provides virtualization to LANs and Ports 2) Worked in Command Module of sPAR that directs the actions to perform virtualization 3) Worked in some features that are developed in C,C++

Education

Bachelor’s Degree, Computer Science, NIT jalandhar