Hi, I’m Sri Harshith Motukuri, a computer science student with a passion for building practical AI solutions. I enjoy turning complex problems into reliable software and ML workflows, with hands-on experience in multi-agent reasoning, large language models, and data-driven prediction pipelines. Currently pursuing a BSc in Computer Science with a Mathematics minor at the University of Alberta, I’m based in Edmonton and eager to collaborate with teams on ML and software development projects that make an impact.

Sri Harshith Motukuri

Hi, I’m Sri Harshith Motukuri, a computer science student with a passion for building practical AI solutions. I enjoy turning complex problems into reliable software and ML workflows, with hands-on experience in multi-agent reasoning, large language models, and data-driven prediction pipelines. Currently pursuing a BSc in Computer Science with a Mathematics minor at the University of Alberta, I’m based in Edmonton and eager to collaborate with teams on ML and software development projects that make an impact.

Available to hire

Hi, I’m Sri Harshith Motukuri, a computer science student with a passion for building practical AI solutions. I enjoy turning complex problems into reliable software and ML workflows, with hands-on experience in multi-agent reasoning, large language models, and data-driven prediction pipelines.

Currently pursuing a BSc in Computer Science with a Mathematics minor at the University of Alberta, I’m based in Edmonton and eager to collaborate with teams on ML and software development projects that make an impact.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Language

English
Fluent
Telugu
Fluent
Hindi
Advanced

Work Experience

AI/ML Intern at BEPEC Solutions
June 1, 2025 - December 1, 2025
Architected multi-agent RAG systems using LangGraph, LangChain, and OpenAI APIs for structured reasoning over domain corpora. Integrated Amazon Bedrock LLMs for production-grade inference; optimized context windows and memory caching, reducing token usage. Built LLM evaluation pipelines (retrieval ablation, hallucination scoring, prompt versioning) to improve response reliability. Finetuned LLaMA-3 using QLoRA, improving domain accuracy by 15% on internal benchmarks.
Safewalk Volunteer at University of Alberta
September 1, 2025 - Present
Provide safe accompaniment for students and staff across the University of Alberta campus. Maintain constant communication with dispatch and team members to ensure a secure environment. Act as a visible safety presence, prioritizing community wellbeing and conflict de-escalation.

Education

Bachelor of Science in Computer Science, Minor in Mathematics at University of Alberta
September 1, 2022 - December 1, 2026

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services, Healthcare, Financial Services
    paper AI Voicemail-to-Text Agent

    – Engineered an AI agent that automatically transcribes audio voicemails into organized text formats.
    – Integrated NLP to summarize transcribed text and highlight key action items for users.
    – Built a secure backend pipeline to handle various audio qualities and minimize transcription latency.

    paper Multi-Agent RAG Orchestration System

    – Developed a multi-agent system utilizing LangGraph to automate complex research and retrieval tasks.
    – Implemented vectorstore swapping and semantic search to handle large-scale proprietary datasets.
    – Optimized agent decision-making logic to reduce hallucination and improve factual accuracy in responses.