---
title: "Marlakunta Kedhareswer Naidu - Software Engineer in Madanapalle | Tal"
description: "Meet Marlakunta Kedhareswer Naidu, Software Engineer @DiligenceVault | AI Builder | ML System Design based in Madanapalle. Explore public work links including github."
image: "https://tal.club/meet/marlakunta-kedhareswer-naidu/share-image"
---

# Marlakunta Kedhareswer Naidu on Tal

## Headline

Software Engineer @DiligenceVault \| AI Builder \| ML System Design

## About

My work sits between LLMs, retrieval systems, and real\-world software engineering\. I like building systems where models deal with structured data, keep track of context, and actually solve problems instead of just working as demos\. I’m currently a Software Engineer at DiligenceVault, where I’ve worked on internal tools such as AI\-based monitoring and document analysis systems, along with a lead management platform used by the sales team to track and prioritize opportunities\. Outside my day job, I spend a lot of time experimenting with GenAI infrastructure and small research\-style projects\. Some of the things I’ve built include: QuantumPDF — a RAG chat system designed for working through complex PDFs TGG — an attempt to explore retrieval without embeddings using reasoning\-driven navigation Agentic LLM Chess — a project focused on iterative reasoning loops for gameplay decisions ThesisFlowAI My usual stack is Python, TypeScript, Next\.js, PyTorch / TensorFlow, retrieval pipelines, and agent\-style LLM workflows\. Lately I’ve been especially interested in retrieval methods beyond standard vector search, agentic systems that can run multi\-step workflows on their own, and tools that feel closer to real software than research demos\. I like working with people who are building practical AI systems, research prototypes, or unusual RAG setups\.

## Location

Madanapalle

## Work experience

Software Engineer at DiligenceVault, Jan 2026 \- Present · 5 mos, New York, United States

AI Engineer Intern at DiligenceVault, Oct 2025 \- Dec 2025 · 3 mos, New York, New York, United States

Research Intern at upGrad, Jan 2025 \- Apr 2025 · 4 mos, India, I had the opportunity to contribute to a cutting\-edge project at upGrad, focusing on hybrid malware detection through innovative technology\. • Developed a hybrid system combining traditional Yara rules with advanced machine learning techniques\. • Collaborated with a team to address real\-world security threats through research and implementation\. • Enhanced my skills in Python, data analysis, and machine learning, preparing me for future challenges in cybersecurity\.

Data Analyst Intern at Psyliq, Jan 2024 \- Feb 2024 · 2 mos, India, I played a pivotal role in managing and analyzing employee HR data, which enhanced my technical and analytical skills\. • Cleaned and stored HR data, ensuring high\-quality information for analysis\. • Created visualizations with Power BI, making complex data easily understandable for stakeholders\. • Leveraged MySQL and Python to streamline data processes, contributing to a more efficient workflow\.

Senior Manager at AIESEC, Aug 2023 \- Dec 2023 · 5 mos, On\-site, I successfully managed outbound professional exchange programs in Outgoing Global Talent Department \(OGT\), ensuring enriching experiences for participants while leading a cohesive team\. • Oversaw program execution, demonstrating strong leadership and commitment to participant satisfaction\. • Fostered team building through collaborative projects, enhancing organizational effectiveness and teamwork\. • Developed skills in leadership, program management, and team dynamics within a dynamic environment\.

Junior Manager at AIESEC, May 2023 \- Aug 2023 · 4 mos, On\-site, I actively contributed to the Outgoing Global Talent department, focusing on talent engagement and outreach initiatives\. • Engaged potential candidates through cold calling, effectively pitching program benefits\. • Enhanced marketing efforts by creating engaging content using Canva\. • Strengthened time management skills to balance multiple responsibilities efficiently\.

Member at AIESEC, Jan 2023 \- May 2023 · 5 mos, Phagwara, Punjab, India, I contributed to a vibrant team culture at AIESEC through various engagement initiatives and activities\. • Developed strong communication skills by participating in conferences and team\-building exercises\. • Enhanced knowledge sharing and experience sharing among team members through active collaboration\. • Fostered cross\-team engagement to promote a cohesive working environment\.

## Education

Bachelor of Technology \- BTech, Computer Science, Lovely Professional University

Higher Secondary, Sri Siddhartha Junior College

## Public links

- github: https://github\.com/Kedhareswer

[View the original profile](https://tal.club/meet/marlakunta-kedhareswer-naidu)

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