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Danakonda RajasekharDR
Open to opportunities

Danakonda Rajasekhar

@danakondarajasekhar

I’m an aspiring GenAI engineer building RAG agents and production-ready APIs with Python.

India
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What I'm looking for

I’m looking for an opportunity to build GenAI systems—LLMs, RAG, and agentic workflows—and ship production-ready APIs. I want a team that values clean engineering, fast iteration, and autonomous automation that’s accurate and scalable.

I’m a B.Tech Computer Science student graduating in 2026, building intelligent automation and scalable backend solutions. I focus on Generative AI architectures—LLMs, Retrieval-Augmented Generation (RAG), and agentic workflows.

I translate complex AI concepts into production-ready web APIs and autonomous systems using Python, LangChain, and FastAPI. I enjoy designing clean backend interfaces that make AI behavior reliable, measurable, and fast.

In my projects, I built a Multi-PDF Chatbot RAG system that uses Python, LangChain, and FastAPI for context-aware querying across documents. I engineered document chunking, embedding generation, and vector storage with ChromaDB, and improved semantic retrieval relevance with optimized REST APIs. I also developed an AI Resume Analyzer that computes cosine similarity over vector embeddings and automates skill-gap analysis and tailored recommendations, plus a Research Agent using LangGraph for autonomous multi-step web gathering, synthesis, and structured report generation.

I bring strong problem-solving, agentic workflow thinking, and version control discipline (Git/GitHub). I’m eager to contribute to a team where I can build and deploy agentic GenAI systems—combining RAG, smart orchestration, and production-grade backend engineering.

Experience

Work history, roles, and key accomplishments

PP

Multi-PDF Chatbot RAG

Personal Projects

Developed a Retrieval-Augmented Generation (RAG) chatbot using Python, LangChain, and FastAPI for context-aware querying across multiple PDFs. Built chunking, embedding generation, and ChromaDB-based vector storage, and exposed clean REST APIs with optimized semantic retrieval to improve response relevance and latency.

PP

Research Agent AI Engineer

Personal Projects

Architected an autonomous AI research agent for web-based information gathering, synthesis, and structured report generation. Orchestrated multi-step agent workflows with LangGraph to enable planning, reasoning, and autonomous execution loops, then consolidated insights into concise structured summaries.

Education

Degrees, certifications, and relevant coursework

SJ

Sri Venkateswara College of Engineering, Tirupati (JNTUA)

Bachelor of Technology (B.Tech), Computer Science Engineering

2022 - 2026

Grade: CGPA: 7.98/10

Activities and societies: Represented JNTUA University in the South Zone Inter-University Volleyball Tournament (2024).

B.Tech in Computer Science Engineering (expected graduation 2026). CGPA listed as 7.98/10.

AP

AP Model School, KVB Puram

Intermediate (Class XII)

Grade: 689 marks

Completed Intermediate (Class XII). Secured 689 marks.

AP

AP Model School, KVB Puram

Secondary School Certificate (SSC) (Class X)

Grade: 502 marks

Completed SSC (Class X). Secured 502 marks.

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