Sravya Dangeti profile photo 1 on Tal

Sravya Dangeti

AI Engineer || Agentic AI, Generative AI, LLM Applications, MCP || Aegis Graham Bell National Awardee || B.Tech in AI & Data Science

Bengaluru

2+ years of work experience

Infosys
Jul 20251 yr 4 mosPresent

Bangalore, Karnataka, India

Building AI systems and agentic platforms spanning robotics control and enterprise AI tooling. • Built an MCP based control framework unifying multiple robot platforms under one command interface, with abstracted protocols for easy extensibility. • Designed a safety filter for sensorless force control, using adaptive error margins and contact-force estimation. Validated in simulation and documented for internal technical review. • Developed a camera-based navigation system with a natural language interface, combining computer vision with LLM-driven command interpretation.
Smart Interviews
Jul 20245 mosNov 2024

Led advanced DSA sessions, helping peers solve complex problems with deeper conceptual understanding. Collaborated with Smart Interviews’ expert instructors known for their strong DSA expertise.
Smart Interviews
Feb 20246 mosJul 2024

India

Mentored peers through logical, theoretical, and coding challenges. Worked alongside highly skilled instructors at Smart Interviews, fostering a strong problem-solving environment.

Sravya’s AI Stack

anthropic apis
anthropic apis
antigravity
antigravity
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claude
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Education

Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)

Bachelor of Technology - BTech, Artificial Intelligence and Data Science

Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)

20214 yrs2025

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Headline

AI Engineer || Agentic AI, Generative AI, LLM Applications, MCP || Aegis Graham Bell National Awardee || B.Tech in AI & Data Science

About

👋 Hi, I'm Sravya, an AI Engineer at Infosys, working across Generative AI, Agentic Systems, and AI Automation. 🎓 My interest in AI started during my B.Tech in AI and Data Science, where I built my first ML and NLP projects, solved 680+ problems on LeetCode, and mentored 200+ students at Smart Interviews. That experience taught me as much about explaining ideas clearly as it did about solving them. 🤖 I've worked on AI systems where reliability matters as much as functionality, including agentic control frameworks built on Model Context Protocol and, as a researcher in humanoid robotics, safety-critical systems for physical robots, an area increasingly known as Physical AI. I also have hands-on experience with LLM APIs, tool-calling architectures, and structured output design, and I'm currently deepening my experience with LangChain and LangGraph. 🚀 On my own time, I built a Competitor Research Agent, an AI agent that researches a company's competitive landscape, independently verifies its own findings, and is upfront about what it could not confirm. It's live and deployed, linked below. 🏆 I was selected for Amazon ML Summer School 2024 and received the Aegis Graham Bell National Award, supported by MeitY, Government of India, both of which reinforced the direction I want to keep building in. 💬 I'm always happy to connect and talk about Generative AI, Agentic AI, or AI Automation. If your team spends a lot of time on repetitive research or reporting work, that's usually something I can help with. Let's connect and build something that holds up.

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude code

claude

codex

cursor

Work experience

AI engineer at Infosys, Jul 2025 - Present · 1 yr 4 mos, Bangalore, Karnataka, India, Building AI systems and agentic platforms spanning robotics control and enterprise AI tooling. • Built an MCP based control framework unifying multiple robot platforms under one command interface, with abstracted protocols for easy extensibility. • Designed a safety filter for sensorless force control, using adaptive error margins and contact-force estimation. Validated in simulation and documented for internal technical review. • Developed a camera-based navigation system with a natural language interface, combining computer vision with LLM-driven command interpretation.

DSA Mentor - Phase 2 at Smart Interviews, Jul 2024 - Nov 2024 · 5 mos, Led advanced DSA sessions, helping peers solve complex problems with deeper conceptual understanding. Collaborated with Smart Interviews’ expert instructors known for their strong DSA expertise.

DSA Mentor - Phase 1 at Smart Interviews, Feb 2024 - Jul 2024 · 6 mos, India, Mentored peers through logical, theoretical, and coding challenges. Worked alongside highly skilled instructors at Smart Interviews, fostering a strong problem-solving environment.

Education

Bachelor of Technology - BTech, Artificial Intelligence and Data Science, Shri Vishnu Engineering College for Women, Vishnupur, Kovvada Village, Bhimavaram, PIN-534202(CC-B0)

Public links

github: https://github.com/sravya520

leetcode: https://leetcode.com/sravyadangeti12