M

Mudit Somani

CEO

Bengaluru, Karnataka, India11 yrs 9 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led modernization efforts impacting millions of users.
  • Engineered scalable microservices reducing transaction latency.
  • Mentored engineers, enhancing team performance significantly.
Stackforce AI infers this person is a Backend-focused engineer in E-commerce and Fintech industries.

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Skills

Core Skills

Backend Systems DesignTechnical TransformationSoftware Development

Other Skills

AJAXAPI DevelopmentAerospikeAlgorithmsAmazon DynamodbAngularJSCRUD ApplicationsCSSCascading Style Sheets (CSS)Customer EngagementCustomer RetentionData StructuresDatabasesEvent ProcessingGit

About

With over a decade of experience building high-scale backend systems and leading technical transformations, I currently drive engineering initiatives at BigBasket that impact millions of users and thousands of crores in transactions. My work spans distributed systems design, Kubernetes-based deployments, real-time event processing, payments architecture, and platform modernization. I'm passionate about building fault-tolerant, developer-friendly platforms, mentoring engineers, and scaling systems sustainably. I thrive at the intersection of product thinking and architectural excellence, and I'm always exploring opportunities where I can contribute to 0→1 journeys or help scale 1→100.

Experience

Bigbasket.com

3 roles

Principal Engineer

Promoted

Nov 2023Present · 2 yrs 4 mos

  • Led multiple modernization efforts including Wallet 2.0 and Voucher 2.0.
  • Contributed to SaaS mid-mile logistics modules, enabling 3 new partner integrations.
  • Engineered Single Door initiative integrating slotted and Q-commerce delivery pipelines, reducing delivery fragmentation by 80%.
  • Designed and launched BigBasket’s loyalty service, increasing customer retention by 18% and boosting average order value by 12%.
KubernetesPayments ArchitecturePlatform ModernizationBackend Systems DesignTechnical Transformation

Technical Lead

Promoted

Apr 2020Oct 2023 · 3 yrs 6 mos

  • Spearheaded dynamic traffic redirection across projects using request headers, reducing need for new Kubernetes clusters and saving ₹1.5–2 crore annually. Project was highlighted by @K8sArchitect.
  • Led a complete rewrite of the legacy payments system into a scalable microservice, reducing transaction latency by 35% and saving ₹2–3 crore/month in infra and reconciliation overhead.
  • Built and integrated the eMandate feature, leading to 25% faster settlement for recurring orders and enhancing success rate by 15%.
  • Implemented State Machine pattern in the payment pipeline, improving retry success rates by 40% and reducing payment failures by 30%.
  • Introduced unit testing rigor, achieving 85%+ test coverage in the payments repo and reducing production incidents by 35%.
  • Built the BB2.0 shipment engine in Go from scratch, reducing shipment dispatch latency by 50% and increasing throughput 2x.
KubernetesMicroservicesGo (Programming Language)Payments ArchitectureBackend Systems DesignTechnical Transformation

Senior Software Engineer

Jul 2018Mar 2020 · 1 yr 8 mos

  • Developed a Kafka-based backend event handler with retry logic and loss prevention, achieving 99.99% delivery reliability and auto-scalability.
  • Mentored 10+ junior developers, led 50+ code reviews, and improved sprint throughput by 20% via better planning and estimation.
  • Designed and launched BBStar 2.0 membership program, contributing to a 30% rise in paid subscribers within 6 months.
  • Optimized a critical stored procedure, reducing execution time from 6s to 1.2s — a 400%+ performance gain on high-load queries.
KafkaPythonEvent ProcessingBackend Systems Design

Minds.ai

Software Engineer

Mar 2017Jun 2018 · 1 yr 3 mos · Bengaluru, Karnataka, India

  • Built a full-featured CRUD application for text data annotation, increasing annotation throughput by 3x for human labelers.
  • Generated training, validation, and test datasets using client APIs, enabling ML model accuracy improvement by ~10%.
  • Processed 10M+ data points using Python multiprocessing; automated feature extraction and correlation across 15+ variables.
  • Performed hyperparameter tuning for neural networks, improving F1 score by 12% on benchmark datasets.
  • Created analysis scripts and dashboards with Bokeh and Matplotlib, improving stakeholder insights and debugging efficiency.
CRUD ApplicationsPythonMachine LearningSoftware Development

Shaw academy

Software Engineer

May 2016Feb 2017 · 9 mos · Bengaluru, Karnataka, India

  • Developed UI for the Enterprise Sales webpage, increasing lead capture by 25% and reducing bounce rates.
  • Built backend APIs to push leads into Salesforce, automating 100% of sales funnel data sync.
  • Implemented a CMS with multi-language support and built a quiz game that raised user interaction time by 20%.
UI DevelopmentAPI DevelopmentSalesforce IntegrationSoftware Development

Mammoth analytics

Technology Analyst

Dec 2013Feb 2016 · 2 yrs 2 mos · Bengaluru Area, India

  • Delivered new features using TDD with 90%+ test coverage, leading to 40% drop in regression bugs.
  • Built RESTful APIs with Pyramid; resolved 100+ frontend/backend issues in JavaScript and Python.
  • Integrated Salesforce and Google Analytics APIs, enabling custom reporting for 50+ client accounts.
TDDRESTful APIsJavaScriptSoftware Development

Education

Dhirubhai Ambani University

Bachelor's Degree — B.Tech

Jan 2009Jan 2013

Central Academy, Kota

High School

Jan 2006Jan 2008

Campion School Bhopal

High School

Jan 2004Jan 2006

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