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

Bengaluru, Karnataka, India

Bangalore Urban, Karnataka, India

Bengaluru, Karnataka, India

Warangal, Telangana, India







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

Higher Secondary Certificate, science
Jawahar Navodaya Vidyalaya - JNV
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Download Tal BossSoftware Development Engineer || Fullstack Developer || Agentic AI || {Java, javascript, Springboot, Python, React, sql, nosql, AWS and Software Design} || AI & Blockchain || Innovation || NITW ’21
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
Bengaluru
claude code
codex
langgraph
langsmith
mcp
huggingface
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.
Bachelor of Technology - BTech, Mechanical Engineering, National Institute of Technology warangal
Higher Secondary Certificate, science, Jawahar Navodaya Vidyalaya - JNV
github: https://github.com/nero007x