Oct 2021 – Dec 2022 · 1 yr 2 mos · Bengaluru · Remote

• Delivered 99%+ performance improvement (25 min to <10 sec) on GST reconciliation for 500K+ businesses in e-commerce and fintech sectors. Re-architected using Apache Spark distributed processing with ML-based anomaly detection. Achieved 99.9% accuracy across 1M+ records, reduced support 60%. Tech: Apache Spark, Python, PostgreSQL, AWS, distributed systems, platform engineering.
• Built tax calculation validation achieving 99.9% accuracy across 24 compliance reports for fintech platform. Automated outlier detection processing 1M+ records in <4 minutes using machine learning, eliminated customer compliance risk. Tech: XGBoost, Python, Machine Learning, AI/ML, platform.
• Reduced production incidents 40% by building real-time monitoring platform for distributed systems. Built monitoring tracking data quality, performance metrics, business KPIs with automated escalation. Tech: AWS CloudWatch, microservices architecture, distributed systems, platform engineering.
• Head of Engineering: Led platform engineering teams managing mission-critical fintech compliance systems for 500K+ businesses. Engineering Manager for distributed systems teams. Re-architected core platform maintaining zero-downtime. Managed data processing at scale.
• Built data pipelines using Apache Spark for large-scale tax analytics. Implemented ETL, real-time validation, ML-based anomaly detection for compliance automation. Platform engineering for enterprise-scale operations with sub-second latency. Tech: Apache Spark, Python, AWS, distributed systems, microservices.
• Engineering leadership for fintech compliance platform using microservices, distributed systems, AI/ML. Tech: Apache Spark, XGBoost, Python, AWS SageMaker, PostgreSQL, React, microservices, platform engineering.

Oct 2017 – Oct 2021 · 4 yrs · Seattle, WA · On-site

• At Amazon, in 2020, in Alexa Video team delivered the first monetization product transnational video on demand (TVOD) in the US marketplace on FireTV. It enables customers to voice purchase non entitled titles from Prime Video. Post launch in September, we have seen TPH (Transactions per hour) of 19 titles purchases in 2 weeks of launch with a conversion rate of 3.5%.
• At Amazon, in 2019, in Seller Fulfillment Services tech team, Enabled UPS carrier in US marketplace as PCP ( Partner carrier Program ) via FBA inbound in our LXS platform which helped sellers buy 459,000 labels purchase per day (average), with a peak of 1.5 Million every Monday. As part of this project delivered Multi-package shipment architecture which enables multiple units can be shipped
• in one package. Nurtured new innovation by developing Content Management System (CMS 1.0) for automating the program on-boarding experience for Enrollment and Eligibility life cycle which
• enabled programs to onboard to CMS 1.0 in just a month from 6 months manually. 5 Programs (Prime wardrobe, MFN global export, Small and Light, FBA onsite and Subscribe and Save ) on boarded to CMS 1.0 and another 28 programs in 2020 roadmap for on-boarding. Made a hackathon idea into reality by implementing seller programs ingress page (Programs tab on Sellers central) and on-boarded 5 programs. Delivered Selection Expansion feature for Subscribe and Save program which enabled sellers to enroll 86,158 consumables per week totaling the GMS value of 23 million.
• Successfully hired 4 engineers ( 1 SDE-2 and 3 SDE-1) from externally and managed 3 SDE from under performance to High value contributors. Proud to say that I have successfully transitioned team from building roadmap in 2019 and brought connections scores up from 3.2 to 4.2 in a year with
• relevant team mechanisms. Successfully promoted from SDE-1 to SDE-2 and SDE-2 to SDE-3 in 2020.

Jan 2014 – Oct 2017 · 3 yrs 9 mos · Greater Bengaluru Area · On-site

• Achieved 50% month-over-month growth scaling e-commerce marketplace to 100K users with intelligent matching across 30,000 service providers. Built ML-powered collaborative filtering optimizing quality and availability. Platform engineering from zero. Tech: Java, Python, Machine Learning, AI/ML, distributed systems.
• Optimized marketplace revenue with dynamic pricing using ML demand forecasting and price elasticity models. Filed patent for demand-supply optimization using reinforcement learning. Engineering Manager for platform teams. Tech: Python, Machine Learning, AI/ML, optimization algorithms, distributed systems.
• Reduced fraud 60% with ML behavioral analysis detecting anomalies in transactions and ratings. Head of Engineering: Built complete marketplace platform from zero, scaled engineering team to 20+ engineers. Tech: Java, Python, MySQL, Spring Boot, Redis, Machine Learning, microservices, platform engineering.

Jan 2000 – Jan 2014 · 14 yrs · Bengaluru · On-site

• Engineering leadership across carrier-grade telecom platforms for tier-1 operators including Bharti Airtel, Tata Communications, Cisco, Nokia, Lucent, Telcordia, and Meru Networks. Scaled teams 5→50+ engineers delivering network management, policy enforcement, and fault management across 10+ countries.
• Cisco Prime Network: Led LTE, GPON, PBB, Femtocell, BNG, IP Multicast modeling. Delivered ACS, AAA, Y.1731, IGMP, PIM, MLDP, MVPN configuration automation for carrier-class operations. Cut development effort 30% via code generation tooling. End-to-end ownership from architecture through production deployment across ASR5K, ASR9K, CRS platforms.
• Hosted Policy Engine (Tata Comm): Defined requirements for Policy Management Solutions serving MNOs — policy control, enforcement, charging subsystems for subscriber management at scale. Enabled operators to innovate policy-based offerings reducing CAPEX and OPEX.
• Network Management System: Multi-Tenancy architecture, REST/JSON/XML APIs for NOC integration. Vendor-agnostic element management with auto-discovery and provisioning across heterogeneous network elements.
• Transport Network Planning (Airtel, Tata): Solution Architecture for OnePlan™ optical transport — SDH, OTN, ASON, DWDM for metro and backbone networks. Greenfield and As-Built network simulation for capacity planning.
• Meru Wireless AP & Controller: Enhanced packet classifier, QoS, SIP/RTP optimization in controller firmware (VxWorks). Reduced processing overhead for enterprise wireless. Voice and video traffic prioritization across access points.
• Lucent NavisAccess DSL EMS, Ericsson AXE10 Decision Engine, Sun Management Center, Mercury Trading API — across Digital Tru64, Solaris, Linux, VxWorks platforms.
• Security & Compliance: ISO 27001, Amazon Anvil Security Certification, PII data classification, DPDP Act 2024 compliance. Secure development across mission-critical telecom and financial systems.