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Dileep Varma

Software Development Engineer || Fullstack Developer || Agentic AI || {Java, javascript, Springboot, Python, React, sql, nosql, AWS and Software Design} || AI & Blockchain || Innovation || NITW ’21

Bengaluru

6+ years of work experience

Visa
Aug 20251 yr 3 mosPresent

Bengaluru, Karnataka, India

- Distributed Orchestrator: Architected a fault-tolerant Tear-Sheet pipeline using ARQ worker pools, Redis-based task queues and pub/sub messaging, and automated retry strategies with dead-letter queues, achieving a 0.0015% task failure rate. - Orchestrated asynchronous LLM, file ingestion, conversion services with SSE streaming, reducing generation time by 90% and delivering $1.5M–$2M in annual operational savings for Visa Marketing Services. - Visa Configuration Manager: Designed and implemented automated BIN provisioning workflows across VisaNet’s CORE and CONFIG systems, automating 900+ parameter configurations and reducing client onboarding at Visa by 80% for 100+ Entities. - Express Licensing: Engineered an integration layer with asynchronous APIs, schedulers, and event-driven sync to automate AML/OFAC compliance for Visa issuers, reducing licensing from 122 days to 10 days. - File Ingestion &Data Source: Led multi-format file ingestion with S3-based storage and SHA-256 validation, with session-isolated retrieval and data sources tracking for 100% auditability. - Cybersecurity Compliance: Directed SSDLC, PCI-DSS, and OWASP compliance through penetration testing, security scans, and threat modeling, and reduced vulnerabilities by 40% for a VisaNet config platform, preventing 25+ breaches.
Publicis Sapient
Oct 20213 yrs 9 mosJun 2025

Bangalore Urban, Karnataka, India

— Architected an AI-driven validation system (Bod-hi AI Service) automating asset metadata compliance checks for 5,000+ assets monthly with 98% precision and eliminating 30+ hours of weekly manual review. — Built GCR Domain Service using Java, Springboot and PostgreSQL, managing CRUD operations across four micro-modules; implemented B-tree indexing and asynchronous batch handlers, boosting query performance by 35%. — Refactored event routing logic (Content Event Manager) using Azure Event Hub for 15+ event types, reducing delivery latency by 40% and increasing throughput by 25%. — Overhauled metadata batch storage system using parallel write strategies and chunked data serialization, accelerating bulk write operations by 45% and reducing Azure Blob storage costs by 18%. — Spearheaded the end-to-end development of an automated fuel rewards system (INGO Free Liters) for Denmark/Sweden, boosting customer acquisition by 15% and revenue by 20%. — Integrated Lingo-Hub with CI/CD pipelines for automatic translation updates and implemented i18n libraries (react-i18next) across mobile applications, leading to a 30% growth in global user engagement. — Designed and streamlined a robust microservices framework (Partner Collaboration Hub) using Java Spring Boot, achieving 99.99% system reliability and improving analytics efficiency by 30% for 200+ retail partners. — Led development of a shared UI library of 200+ components using Storybook and integrated into the design system, enabling cross-team collaboration, and reducing design-to-development cycle time by 35%. — Scaled deployment workflows using Helm charts and Kubernetes Operators for 20+ microservices; achieved a 40–50% reduction in deployment time and improved system resilience via auto-scaling/self-healing configurations.
Publicis Sapient
Jun 20215 mosOct 2021

Bengaluru, Karnataka, India

— Revamped REST API endpoints by implementing server-side pagination, efficient indexing, and query caching using Redis, resulting in a 30–50% improvement in data-intensive operations. — Pioneered higher-order components and custom hooks in React architecture, enhancing reusability and reducing front-end feature delivery time by 40%. — Optimized Marriott web page performance using Blue Triangle analytics, reducing load times by 20%, increasing speed scores by 20+ points, and lowering bounce rates by 10%. — Accelerated data access velocity by 98% in an integration pipeline by reducing query execution time from 1 minute to 10 seconds through query optimization. — Enhanced accessibility by implementing WCAG 2.1 compliance (text scaling, contrast optimization), improving metrics by 30% and user engagement by 40%.
National Institute of Technology Warangal
Mar 20201 yr 2 mosApr 2021

Warangal, Telangana, India

- Developed a Python-based simulation tool implementing the Lattice Boltzmann Method (LBM) to model fluid flow around a cylindrical obstacle with over 95% alignment to theoretical predictions. - Numerically solved the Navier–Stokes equations, translating advanced fluid dynamics models into efficient Python algorithms. - Ran 50+ simulations across a wide Reynolds number range to analyze laminar flow transition and vortex shedding behavior. - Optimized matrix operations with NumPy, reducing simulation runtime by 30% and enabling scalability to higher-resolution domains. - Visualized fluid dynamics patterns using Matplotlib, achieving less than 5% deviation from benchmark results in laminar regimes. - Gained hands-on expertise in scientific computing, computational physics, numerical methods, and algorithm optimization.

Dileep’s AI Stack

claude code
claude code
codex
codex
langgraph
langgraph
langsmith
langsmith
mcp
mcp
huggingface
huggingface

Education

National Institute of Technology warangal

Bachelor of Technology - BTech, Mechanical Engineering

National Institute of Technology warangal

20174 yrs2021
Jawahar Navodaya Vidyalaya - JNV

Higher Secondary Certificate, science

Jawahar Navodaya Vidyalaya - JNV

20107 yrs2017

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Headline

Software Development Engineer || Fullstack Developer || Agentic AI || {Java, javascript, Springboot, Python, React, sql, nosql, AWS and Software Design} || AI & Blockchain || Innovation || NITW ’21

About

I’m a Senior Software Engineer with 5+ years of experience designing and scaling distributed systems and AI-driven platforms powering millions of users globally. I specialize in backend architecture, event-driven systems, and cloud-native infrastructure — building high-performance, fault-tolerant systems with measurable business impact. Currently at Visa, I architect and own AI-powered marketing and compliance platforms supporting global payment infrastructure. My work includes: - Built a PostgreSQL-backed GCRA rate limiter for shared multi-LLM infrastructure processing 100M+ tokens daily - Designing real-time orchestration systems with worker pools, distributed queues, and retry/DLQ mechanisms - Building SSE-based streaming pipelines for low-latency AI interactions - Implementing RAG workflows using semantic search (pgvector) - Delivering AI-driven tear sheet generation 90% faster, with ~95% accuracy across 100+ products and regions - Driving $1.5M+ annual operational savings Previously at Publicis Sapient, I delivered enterprise-scale systems for global clients including Marriott International, Circle K, and Albertsons. Key contributions: - Built fault-tolerant distributed systems with 99.99% uptime - Optimized high-QPS APIs and event-driven microservices, reducing latency 40%+ - Accelerated bulk data pipelines by 45% and reduced cloud storage costs 18% - Developed mobile/web features driving 30–40% engagement growth I also contributed to CoreAI, Publicis Groupe’s marketing intelligence platform, building cloud-native AI services processing 650B+ daily bid events to power audience targeting and campaign automation. My engineering foundation began at National Institute of Technology, Warangal, where I led a computational fluid dynamics research project implementing the Lattice Boltzmann Method in Python to solve Navier–Stokes equations — shaping my systems-thinking approach to scalability and performance. Beyond engineering, I’m passionate about digital art, open source, Agentic systems, blockchain, and DeFi. My artwork was featured at NFT.NYC’s Times Square exhibition, and I actively contribute to tech inclusion initiatives and NGO-led fundraising efforts. I’m open to opportunities in backend engineering, distributed systems, and AI platform roles (Senior SWE / SDE2 / L4–L5). 📩 dileepvarmavirodhula@gmail.com 💻 github.com/Nero007x Tech: Java | Spring Boot | Kafka | Distributed Systems | Microservices | AI & RAG | SSE | AWS | Azure | GCP | PostgreSQL | MongoDB | Kubernetes | React | React Native | Python | System Design

Location

Bengaluru

AI stack

claude code

codex

langgraph

langsmith

mcp

huggingface

Work experience

Senior Software Engineer at Visa, Aug 2025 - Present · 1 yr 3 mos, Bengaluru, Karnataka, India, - Distributed Orchestrator: Architected a fault-tolerant Tear-Sheet pipeline using ARQ worker pools, Redis-based task queues and pub/sub messaging, and automated retry strategies with dead-letter queues, achieving a 0.0015% task failure rate. - Orchestrated asynchronous LLM, file ingestion, conversion services with SSE streaming, reducing generation time by 90% and delivering $1.5M–$2M in annual operational savings for Visa Marketing Services. - Visa Configuration Manager: Designed and implemented automated BIN provisioning workflows across VisaNet’s CORE and CONFIG systems, automating 900+ parameter configurations and reducing client onboarding at Visa by 80% for 100+ Entities. - Express Licensing: Engineered an integration layer with asynchronous APIs, schedulers, and event-driven sync to automate AML/OFAC compliance for Visa issuers, reducing licensing from 122 days to 10 days. - File Ingestion &Data Source: Led multi-format file ingestion with S3-based storage and SHA-256 validation, with session-isolated retrieval and data sources tracking for 100% auditability. - Cybersecurity Compliance: Directed SSDLC, PCI-DSS, and OWASP compliance through penetration testing, security scans, and threat modeling, and reduced vulnerabilities by 40% for a VisaNet config platform, preventing 25+ breaches.

Software Development Engineer L2 | Java EE, Springboot, Python, FastAPI, ReactJs, NextJs at Publicis Sapient, Oct 2021 - Jun 2025 · 3 yrs 9 mos, Bangalore Urban, Karnataka, India, — Architected an AI-driven validation system (Bod-hi AI Service) automating asset metadata compliance checks for 5,000+ assets monthly with 98% precision and eliminating 30+ hours of weekly manual review. — Built GCR Domain Service using Java, Springboot and PostgreSQL, managing CRUD operations across four micro-modules; implemented B-tree indexing and asynchronous batch handlers, boosting query performance by 35%. — Refactored event routing logic (Content Event Manager) using Azure Event Hub for 15+ event types, reducing delivery latency by 40% and increasing throughput by 25%. — Overhauled metadata batch storage system using parallel write strategies and chunked data serialization, accelerating bulk write operations by 45% and reducing Azure Blob storage costs by 18%. — Spearheaded the end-to-end development of an automated fuel rewards system (INGO Free Liters) for Denmark/Sweden, boosting customer acquisition by 15% and revenue by 20%. — Integrated Lingo-Hub with CI/CD pipelines for automatic translation updates and implemented i18n libraries (react-i18next) across mobile applications, leading to a 30% growth in global user engagement. — Designed and streamlined a robust microservices framework (Partner Collaboration Hub) using Java Spring Boot, achieving 99.99% system reliability and improving analytics efficiency by 30% for 200+ retail partners. — Led development of a shared UI library of 200+ components using Storybook and integrated into the design system, enabling cross-team collaboration, and reducing design-to-development cycle time by 35%. — Scaled deployment workflows using Helm charts and Kubernetes Operators for 20+ microservices; achieved a 40–50% reduction in deployment time and improved system resilience via auto-scaling/self-healing configurations.

Software Development Engineer L1 | Java, RESTAPI, RDBMS, ReactJs Kafka at Publicis Sapient, Jun 2021 - Oct 2021 · 5 mos, Bengaluru, Karnataka, India, — Revamped REST API endpoints by implementing server-side pagination, efficient indexing, and query caching using Redis, resulting in a 30–50% improvement in data-intensive operations. — Pioneered higher-order components and custom hooks in React architecture, enhancing reusability and reducing front-end feature delivery time by 40%. — Optimized Marriott web page performance using Blue Triangle analytics, reducing load times by 20%, increasing speed scores by 20+ points, and lowering bounce rates by 10%. — Accelerated data access velocity by 98% in an integration pipeline by reducing query execution time from 1 minute to 10 seconds through query optimization. — Enhanced accessibility by implementing WCAG 2.1 compliance (text scaling, contrast optimization), improving metrics by 30% and user engagement by 40%.

Simulating Fluid Flow Around Obstacles using Lattice Boltzmann Method (University Project) | Python at National Institute of Technology Warangal, Mar 2020 - Apr 2021 · 1 yr 2 mos, Warangal, Telangana, India, - Developed a Python-based simulation tool implementing the Lattice Boltzmann Method (LBM) to model fluid flow around a cylindrical obstacle with over 95% alignment to theoretical predictions. - Numerically solved the Navier–Stokes equations, translating advanced fluid dynamics models into efficient Python algorithms. - Ran 50+ simulations across a wide Reynolds number range to analyze laminar flow transition and vortex shedding behavior. - Optimized matrix operations with NumPy, reducing simulation runtime by 30% and enabling scalability to higher-resolution domains. - Visualized fluid dynamics patterns using Matplotlib, achieving less than 5% deviation from benchmark results in laminar regimes. - Gained hands-on expertise in scientific computing, computational physics, numerical methods, and algorithm optimization.

Education

Bachelor of Technology - BTech, Mechanical Engineering, National Institute of Technology warangal

Higher Secondary Certificate, science, Jawahar Navodaya Vidyalaya - JNV

Public links

github: https://github.com/nero007x