(July 2025 - Present)
AI Intern
Model N
Hello,
This is NIHITH TALLAPALLI , I'm a Professional AI/ML Engineer & Full Stack Developer.
constcoder={name:'Nihith Tallapalli',skills:['React', 'NodeJS', 'Express', 'MongoDB', 'MySQL', 'Python', 'C++', 'Git', 'AWS'],hardWorker:true,quickLearner:true,problemSolver:true,hireable:function() {return(this.hardWorker&&this.problemSolver&&this.skills.length>=5);};};ABOUT ME
Who am I?
My name is Nihith Tallapalli. I am an AI/ML Engineer and Full Stack Developer specializing in building intelligent systems and scalable applications. With hands-on experience in LLM-powered agents, knowledge graphs, computer vision, and web scraping, I combine deep learning expertise with production-ready engineering. Currently working on cutting-edge GenAI projects including medical contract parsing agents, Medicaid triage automation using LangGraph, and real-time research integration systems. I'm proficient in Python, JavaScript, React, Node.js, and a comprehensive stack of ML/AI frameworks. I love solving complex problems with clean, efficient code and am always eager to explore emerging technologies. Available for opportunities in AI/ML Engineering, Full Stack Development, and Research positions.😄
Experiences
(May 2025 - June 2025)
Growth & ML Intern
MokSa.ai
(October 2024 - April 2025)
AI Intern
MadScientist
(December 2024 - January 2025)
ML Research Intern
IIT Hyderabad
(August 2024 - October 2024)
SDE Intern (Founding Engineer)
Celume Studios Pvt Ltd
Skills
PROJECTS
ScholarSync-MCP: Real-Time Research Integration for AI Agents
constproject={name:'ScholarSync-MCP: Real-Time Research Integration for AI Agents',tools: ['Python', 'MCP', 'arXiv API', 'LLM', 'GenAI Infrastructure],myRole:AI Engineer,Description: Developed a protocol server that empowers AI agents to search, retrieve, and organize academic papers from arXiv in real time, overcoming LLM knowledge cutoffs.
Automated topic-based research workflows, enabling structured, up-to-date insights for conversational AI and research assistants.,};InboxGPT: AI-Powered Email Triage Assistant
constproject={name:'InboxGPT: AI-Powered Email Triage Assistant',tools: ['LangGraph', 'OpenAI GPT-4o', 'Pydantic', 'Python', 'Vector Store', 'Embeddings],myRole:GenAI Engineer,Description: Implemented a LangGraph pipeline combining GPT-4o-mini, embeddings (text-embedding-3-small), and an in-memory vector store for semantic email classification.
Engineered few-shot prompting with structured output parsing (Pydantic) to enforce consistent triage into Ignore, Notify, and Respond categories.,};Medical Contract Parsing Agent
constproject={name:'Medical Contract Parsing Agent',tools: ['Python', 'LLM APIs', 'Knowledge Graphs', 'Neo4j', 'Prompt Engineering', 'Few-Shot Learning],myRole:AI Intern,Description: Built a Medical Contract Parsing Agent using knowledge graphs + direct LLM APIs with few-shot learning and prompt engineering for structured extraction and semantic analysis of provider contracts.
Developed at Model N to automate complex healthcare contract processing.,};Medicaid Triage Agent
constproject={name:'Medicaid Triage Agent',tools: ['LangGraph', 'MCP', 'Python', 'LLM Evaluation', 'Workflow Automation],myRole:AI Intern,Description: Engineering a Medicaid Triage Agent with LangGraph Agents and Model Context Protocol (MCP), applying controllable summarization and LLM evaluation to optimize routing, prioritization, and compliance.
Automating workflows previously handled by 40 analysts at Model N.,};Educations
2022 - Present
Bachelor Of Engineering - Computer Science
Chaitanya Bharathi Institute of Technology
2019 - 2021
Higher Secondary Certificate
Sri Chaitanya Junior College
2014 - 2019
High School Certificate
Kennedy Global