Headline

Software Engineer @ AT&T | Java | Python | Databricks | RAG | GenAI | Microservices

About

Graduated with a Bachelor of Engineering in Electronics and Communications Engineering from Dayananda Sagar College of Engineering. Currently a Software Engineer at AT&T, contributing to enterprise-grade Java Spring Boot microservices, REST APIs, Kubernetes deployments, PostgreSQL, and CI/CD pipelines with a focus on full observability. At AT&T, supported the development of production-level Retrieval-Augmented Generation (RAG), Agentic AI, and LLM fine-tuning pipelines utilizing OpenAI GPT-4 and Meta Llama 3. Co-inventor of patents on Generative AI benchmarking and ML-driven network fault management. Passionate about leveraging advanced AI technologies to create impactful innovations.

Location

Bengaluru

AI stack

antigravity

claude code

claude

codex

cursor

github copilot

Work experience

Software Engineer at AT&T, Sep 2022 - Present · 4 yrs, SDE: 4 years building enterprise Java Spring Boot microservices at AT&T — REST APIs, PostgreSQL, Kubernetes, CI/CD pipelines, and full observability stack. AI/ML: Built production RAG, Agentic AI, and LLM fine-tuning pipelines at AT&T using OpenAI GPT-4 and Meta Llama 3. Co-inventor of 2 filed AT&T patents in Generative AI benchmarking and ML-driven network fault management.

Technical Intern at AT&T, Mar 2022 - Sep 2022 · 7 mos, • Built Azure Databricks ETL pipelines integrating OSS/BSS telecom data sources for analytics and ML workloads during a 6-month internship.

Machine Learning Intern at DRDO, Ministry of Defence, Govt. of India, Oct 2021 - Nov 2021 · 2 mos, • Applied ML and Deep Learning models to gas turbine sensor data for performance analysis and predictive maintenance classification.

Education

Bachelor of Engineering, Electrical, Electronics and Communications Engineering, Dayananda Sagar College of Engineering, BANGALORE