Mahesh Chandra Bollineni
@maheshchandrabolline
Software engineer specializing in full-stack development and AI-driven chatbot solutions.
What I'm looking for
I am a B.Tech graduate in Computer Science with hands-on experience building full-stack applications, automation tooling, and LLM-based chatbots. At Audintel I led feature work on chatbot UIs, multi-tenant systems, SSO integrations, and delivered an in-house test automation platform that improved QA reliability.
I have practical exposure to backend design with Spring Boot, frontend development in React, and prompt design and integration for LangChain4j-powered chatbots. I enjoy building scalable consumer and social-impact products and mentoring peers while applying AI to solve real problems.
Experience
Work history, roles, and key accomplishments
Software Engineer I
Audintel
May 2024 - Present (1 year 4 months)
Built chatbot features and dashboards, implemented SSO and multi-tenant support, and developed an in-house automation testing tool that reduced manual QA effort and improved product reliability.
Developer Intern
Audintel
Jan 2024 - May 2024 (4 months)
Assisted in building a spend comparison module using Spring Boot and developed the React 18 UI, collaborating with senior developers on backend design patterns and asynchronous logic.
Research and Development Intern
Mentoring Assistant
Sep 2022 - May 2023 (8 months)
Worked on CNN/ANN projects and mentored juniors on blockchain smart contracts and Flutter apps; contributed UI designs and static screens using Figma and Flutter for a hackathon-winning emergency services prototype.
Education
Degrees, certifications, and relevant coursework
Keshav Memorial Institute of Technology (JNTUH)
Bachelor of Technology, Computer Science and Engineering
Grade: 9.0/10.0
Bachelor of Technology in Computer Science and Engineering with a cumulative GPA of 9.0/10.0 and coursework in Data Structures, Algorithms, Java, Web Technologies, Database Systems, and C.
FIITJEE Jr. College
Intermediate, MPC (Mathematics, Physics, Chemistry)
2018 - 2020
Grade: 95.5%
Completed Intermediate (MPC) with a percentage of 95.5.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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