Headline

Java Full Stack Developer | SpringBoot | Generative AI | Agentic AI | 2x Databricks Certified

About

Greetings! I’m a highly motivated and performance-driven Software Engineer based in Bangalore, with a strong foundation in C++, Java, JavaScript, and Object-Oriented Programming (OOP). My expertise spans Data Structures, Algorithms, System Design, and Full Stack Web Development, enabling me to build scalable and high-performance solutions. With hands-on experience in Java, SQL, and modern web technologies, I excel in developing efficient, maintainable, and user-centric software. 💡 Beyond core software engineering, I have understanding of Artificial Intelligence (AI) — including Generative AI (GenAI) and Large Language Models (LLMs). I actively explore how these technologies can be integrated into products to enhance automation, decision-making, and user experience. 🔍 I’m currently seeking a Software Development Engineer (SDE) opportunity in a forward-thinking organization that values innovation, technical excellence, and a growth mindset. Let’s connect and collaborate to build impactful solutions powered by technology and creativity.

Location

Greater Bengaluru Area

AI stack

cursor

gemini

github copilot

openai

Work experience

Software Analyst at Accenture in India, Jan 2026 - Present · 4 mos, Bangalore Urban, Led the design and deployment of enterprise-grade AI-integrated backend systems leveraging Java (Spring Boot), Python, and microservices architectures for scalable automation and monitoring solutions across distributed environments. Architected predictive maintenance and incident intelligence platforms powered by machine learning–based anomaly detection, real-time analytics, and LLM-driven root-cause reasoning to achieve 95%+ accuracy in proactive failure prediction and an 80% reduction in MTTR. Engineered hybrid automation frameworks combining backend orchestration with Natural Language Processing and agentic AI models for intelligent incident routing, autonomous remediation, and knowledge-based decisioning — improving resolution SLAs by 65% and minimizing manual triage by 90%. Developed multi-agent orchestration pipelines integrating Java backends, RESTful APIs, and asynchronous task schedulers to support high-throughput, fault-tolerant operations across multi-cloud infrastructures. Pioneered the integration of GenAI and backend systems, enabling decision-oriented automation through LLM-based contextual embeddings, vector retrieval, and chain-of-thought reasoning for continuous system optimization.

Software Engineer at Accenture in India, Sep 2023 - Present · 2 yrs 8 mos, Bengaluru, Architected and deployed production-grade ML-powered monitoring systems utilizing anomaly detection algorithms and predictive analytics to autonomously identify system failures before escalation achieving 95% accuracy in failure prediction and reducing MTTR by 80%. Engineered intelligent automation frameworks leveraging Natural Language Processing (NLP) and rule-based AI to auto-classify, prioritize, and route incidents across distributed enterprise systems. Integrated LLM-based contextual analysis for root cause identification, eliminating 90% of manual triage operations and improving incident resolution SLA adherence by 65%. Built scalable RPA and agentic AI solutions using multi-agent orchestration patterns, chain-of-thought reasoning, and tool-augmented LLMs. Designed modular Python frameworks with async processing, connection pooling, and fault-tolerant architectures supporting 24/7 autonomous operations across multi-cloud environments.

Apprenticeship at Wipro, May 2022 - Oct 2022 · 6 mos, Noida, Uttar Pradesh, India

Campus Lead at Coding Ninjas, Jun 2022 - Aug 2022 · 3 mos

DSA Intern at TwoWaits, Jan 2022 - Feb 2022 · 2 mos

Education

B.tech, Information Technology, Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow

Public links

github: https://github.com/priyesh-raj-singh