Hi, I’m Mudit Baid, an AI/ML engineer who recently completed an M.S. in Artificial Intelligence at the University of Georgia with a 3.8 GPA. My work focuses on LLM applications, agentic workflows, NLP, retrieval, and model evaluation. At the Owens Institute, I analyzed more than 50,000 social-media posts using RoBERTa and achieved 93% F1 for hate-speech detection. At CyberPosture, I built an LLM-powered assessment system that converted client interviews into structured, risk-prioritized reports and advisor handoffs. I have also developed a LangGraph operations copilot, a GraphRAG engine, and a Llama-based mixture-of-experts pipeline that achieved 90% post-level accuracy. What connects these experiences is my interest in turning promising models into useful, dependable systems. I enjoy working across experimentation, evaluation, APIs, and deployment, and I’m looking for opportunities where I can build AI products with measurable real-world impact.

Mudit Baid

Hi, I’m Mudit Baid, an AI/ML engineer who recently completed an M.S. in Artificial Intelligence at the University of Georgia with a 3.8 GPA. My work focuses on LLM applications, agentic workflows, NLP, retrieval, and model evaluation. At the Owens Institute, I analyzed more than 50,000 social-media posts using RoBERTa and achieved 93% F1 for hate-speech detection. At CyberPosture, I built an LLM-powered assessment system that converted client interviews into structured, risk-prioritized reports and advisor handoffs. I have also developed a LangGraph operations copilot, a GraphRAG engine, and a Llama-based mixture-of-experts pipeline that achieved 90% post-level accuracy. What connects these experiences is my interest in turning promising models into useful, dependable systems. I enjoy working across experimentation, evaluation, APIs, and deployment, and I’m looking for opportunities where I can build AI products with measurable real-world impact.

Available to hire

Hi, I’m Mudit Baid, an AI/ML engineer who recently completed an M.S. in Artificial Intelligence at the University of Georgia with a 3.8 GPA. My work focuses on LLM applications, agentic workflows, NLP, retrieval, and model evaluation.

At the Owens Institute, I analyzed more than 50,000 social-media posts using RoBERTa and achieved 93% F1 for hate-speech detection. At CyberPosture, I built an LLM-powered assessment system that converted client interviews into structured, risk-prioritized reports and advisor handoffs. I have also developed a LangGraph operations copilot, a GraphRAG engine, and a Llama-based mixture-of-experts pipeline that achieved 90% post-level accuracy.

What connects these experiences is my interest in turning promising models into useful, dependable systems. I enjoy working across experimentation, evaluation, APIs, and deployment, and I’m looking for opportunities where I can build AI products with measurable real-world impact.

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Experience Level

Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

AI Developer Intern at CyberPosture
May 1, 2025 - August 31, 2025
Built an LLM-powered cybersecurity posture assessment tool that conducts client interviews, captures risk context for individuals, families, and business departments, and generates structured posture reports. Designed prompt workflows and control-mapping logic to translate assessment responses into target controls, regulatory considerations, remediation priorities, and consultation-booking handoffs for advisors. Implemented assessment-to-report automation using reusable AI prompts, structured response capture, and risk-prioritized recommendations for security consultations.
Graduate Research Assistant at Owens Institute for Behavioral Research
January 1, 2025 - Present
Analyzed 50,000+ tweets about Latin American immigrants using NLP and RoBERTa classifiers, achieving 93% F1 for hate-speech detection and improving harmful-language analysis workflows.
SEE Suite ML Assistant at Grady College of Journalism and Mass Communication
August 1, 2024 - December 31, 2024
Benchmarked ML and BERT-based NLP classifiers across 70,000+ tweets for hate, bullying, racism, sexism, and threat detection, achieving 97% accuracy while lowering false-positive rate from 35% to 20%.
ML Engineer Intern at Better Opinions (A YC W22 company)
February 1, 2023 - June 30, 2023
Built a PyTorch LSTM model for YouTube video prediction and opinion-boundary analysis, cutting research review time from 10 hours to 5 hours. Cleaned and analyzed 20,000+ IP addresses and bidding-interest records with SQL workflows, expanding qualified outreach records from 100 to 130.

Education

Master of Science, Artificial Intelligence at The University of Georgia
August 1, 2023 - July 31, 2026
Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology
June 1, 2019 - May 31, 2023
Master of Science, Artificial Intelligence at The University of Georgia
August 1, 2023 - July 31, 2026
Bachelor of Technology, Computer Science and Engineering at SRM Institute of Science and Technology
June 1, 2019 - May 1, 2023

Qualifications

Industry Experience

Education, Professional Services, Software & Internet, Computers & Electronics, Media & Entertainment, Non-Profit Organization