Lokesh Kumar Pedduri

About Lokesh Kumar Pedduri

I’m a Senior Software Engineer with 9 years of experience building scalable, cloud-native platforms using React, Node.js, and AWS, and more recently, integrating AI into real-world products.I enjoy working across the stack — from backend systems and APIs to user-facing applications — and I like owning problems end-to-end, from design through production. What motivates me most is building systems that not only scale technically but also create meaningful product and business impact.At Pegasystems, I improved release cycles by ~30% by leading the modernization of a legacy Task Mining platform, redesigning APIs, and rebuilding core backend services. I’ve also delivered multiple end-to-end releases across products such as Workforce Intelligence (WFI), Desktop Runtime, and Process & Task Mining, taking ownership across development, testing, security, and production readiness.More recently, I’ve been working at the intersection of engineering and AI. I’ve been actively exploring the evolution of AI systems — from early GPT-based workflows to more recent agentic patterns — and applying these concepts in real-world systems.I’ve worked with semantic search, RAG (including chunking strategies), and API-driven AI integrations, and have applied these in building production-focused tools. This includes an AI-powered security insights platform that aggregates scan data, summarizes vulnerabilities, and automatically generates bug reports — reducing manual effort and improving response time.As part of this journey, I built a Process Mining AI assistant MVP during a hackathon that generated executive insights from application workflows, which gained strong interest from leadership. I continue to explore emerging areas such as agentic workflows, open-source models, and local AI tooling, with a focus on improving developer productivity and real-world system workflows.Alongside engineering, I’ve worked closely with product managers, clients, and cross-functional teams across regions, helping translate business requirements into scalable technical solutions. I enjoy operating at the intersection of engineering, product, and real-world impact.I’m now looking to work on high-impact problems — especially in roles where I can build scalable platforms, integrate AI into products, and contribute to teams solving complex challenges. I’m open to global and remote opportunities, particularly in teams building scalable platforms and AI-driven products.

Experience

1. Senior Software Engineer

   Pegasystems

   Mar 2022 — Present · Hyderabad, IN

   Improved release cycles by ~30% by leading modernization of a legacy Task Mining platform, redesigning APIs, and rebuilding core backend services (~80% backend,~40% frontend in React)- Delivered 7+ end-to‑end releases across multiple products like Workforce Intelligence (WFI), WFI Desktop Runtime, and Process & Task Mining, owning development, testing, security compliance, and production readiness- Built an AI‑powered Security Insights Dashboard aggregating scan data across 7+ repositories, automating vulnerability summarization and bug report generation, and reducing manual triage effort- Designed AI-driven workflows to automate security analysis and internal processes, improving developer productivity and reducing manual effort- Reduced bug backlog by ~35%, helping prevent significant potential revenue impact (~$10M)- Acted as Security Champion across multiple products, driving secure development practices across teams- Mentored engineers across global teams and collaborated with Engineering, QA, and Product to improve delivery quality- Worked closely with product managers and stakeholders to translate business requirements into scalable technical solutions.

Education

• Shanthi Nikethan Model High School

  SSC, Schooling

  2011

• Jawaharlal Nehru Technological University, Hyderabad

  Bachelor’s Degree, CSE

  2013 — 2017

• Sri Chaitanya Junior College

  Intermediate, Mathematics, Physics, Chemistry

  2011 — 2013