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srilekha nalaboluSN
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srilekha nalabolu

@srilekhanalabolu

Associate AI Engineer at Junna Solar who developed an AI resume parser for structured candidate extraction and HR platform integration.

India
Message

At Junna Solar, I developed an AI Resume Parser using Python, LLMs, REST APIs, and document processing to extract candidate data and integrate it with an existing HR platform. I implemented single and bulk resume processing, structured validation, and duplicate-submission protection.

I also contributed to an internal HR Portal POC, from requirement analysis and feature development through testing and iterative improvements. I developed and validated Service and Zoho Voice dashboards, reconciling data and investigating discrepancies in operational metrics.

At Tech Mahindra Makers Lab, I developed and evaluated AI/NLP workflows for enterprise document processing and information retrieval. I implemented document data pipelines and worked with Milvus to support semantic search and retrieval-based applications.

In my projects, I developed CareerGenie, an AI placement preparation assistant, and built an AI Helpdesk Chatbot using Retrieval-Augmented Generation. I also built a heart disease prediction application with Random Forest and Logistic Regression models that achieved 90%+ accuracy on the selected dataset.

Experience

Work history, roles, and key accomplishments

JS
Current

Associate AI Engineer

Junna Solar

Jan 2026 - Present (9 months)

Developed internal software solutions by translating business requirements into technical workflows, APIs, dashboards, and automation features. Built an AI Resume Parser using Python, LLMs, REST APIs, and document processing to automate candidate data extraction and integration with an existing HR platform.

Education

Degrees, certifications, and relevant coursework

MT

Methodist College of Engineering and Technology

Bachelor of Engineering, Artificial Intelligence and Data Science

2022 -

Grade: 9.44/10

Pursuing a B.E. in Artificial Intelligence and Data Science with a CGPA of 9.44/10.

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