Headline

Full-Stack Software Engineer | DevOps & GenAI | Scalable Product Architect | Results-Driven, Stack-Agnostic Problem Solver

About

I architect and deliver scalable, full‑stack platforms that power business‑critical product for clients. My expertise spans cloud development, DevOps automation, and advanced Generative AI integration, enabling rapid innovation and resilient production systems. I specialize in: - Designing and launching cloud‑first applications used by 50,000+ users with industry‑leading uptime and performance. - Automating CI/CD, testing, and deployment pipelines, cutting release times by 30% and reducing deployment failures by 60%. - Integrating AI and analytics into engineering workflows for smarter testing, faster rollouts, and measurable product value. - Building robust APIs and distributed microservices across diverse tech stacks, adapting quickly to new tools and architectures. My approach: I thrive in ambiguity, solve complex problems end‑to‑end, and collaborate across cross‑functional teams to align technology with real business outcomes. Relentless learning, business‑first engineering, and an absolute focus on delivering results at scale define my work. Let’s connect if you’re looking for : A builder who brings deep technical breadth, modern DevOps expertise, and problem‑solving energy to every challenge.

Location

Pune District

Work experience

Software Engineer at Zensar Technologies, Mar 2022 - Present · 4 yrs 3 mos, Pune District, Maharashtra, India, • Delivered mission-critical BFSI applications using ASP.NET Core, MVC, Web API, ReactJS, and SQL Server, achieving 99.8% uptime for 50K+ users. • Architected and optimized 30+ REST APIs, increasing performance by 25% and reducing page-load times by 30%. • Led Azure deployments and managed 20+ CI/CD pipelines, reducing deployment lead time by 40%. • Configured IIS hosting and developed SSRS reports for enhanced business intelligence; optimized SQL Server queries and stored procedures, reducing reporting runtime by 40%. • Automated workflows with Python scripts and Power Automate, saving 250+ hours quarterly. • Enhanced application reliability with rigorous NUnit/xUnit testing, resulting in 20% fewer production defects. • Actively contributed to Agile SDLC processes including sprint planning, code reviews, solution design, and cross-functional team collaboration. • Implemented AI-driven predictive analytics in CI/CD pipelines for intelligent test automation and failure detection, achieving 60% reduction in pipeline failures and 25% faster build times.

Education

Civil Engineering, Asansol Engineering College (AEC)

Senior Secondary Schooling (12th Standard), Science, USHAGRAM BOYS' HIGH SCHOOL (H.S.)

Public links

github: https://github.com/dev-indranil