Available to hire
Hello! I’m Shreyas Dhakal, a computer engineering graduate with a strong passion for AI and ML. I thrive on building practical, scalable software solutions and exploring how generative AI and agent-based systems can transform real-world problems. I’m currently pursuing further study and applying my skills in internships and projects across ML, web development, and data science.
I am eager to gain hands-on experience and contribute to the ML and AI industries, especially in Generative AI and AI Agents.
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Language
English
Fluent
Nepali
Fluent
Hindi
Advanced
Work Experience
Internship in Machine Learning at SMT Capital
May 1, 2023 - November 1, 2023Developed machine learning techniques and algorithms for technical stock analysis; performed time-series analysis and financial data exploration; integrated scripts into stock analysis platform backend to handle large amounts of stock data; assisted in financial data preprocessing and model evaluation.
Full Stack Web Developer at CodeCraft Web Solutions
July 1, 2024 - December 1, 2024Developed a hospital website using PHP and Laravel; deployed and maintained the system on a production server, handling configuration, debugging, and performance optimization; managed a team of developers and oversaw the project lifecycle from concept to deployment; developed a medical website for Dir ghay u Hospital with admin panels and a booking system.
AI Engineer at Xval.ai
February 1, 2025 - August 1, 2025Performed research in the agentic framework pipeline to generate educational content using LangChain, LLMs, and their frameworks. Developed automatic text evaluation and improvement methodologies using LLMs and RAGs. Developed RAGs and vector databases for AI agent interaction.
Machine Learning Internship at SMTM Capital
May 1, 2023 - November 2, 2023Developed machine learning techniques (supervised and unsupervised) and algorithms for technical analysis of stocks. Performed various time series financial analyses (trends, support/resistance, etc.) to assist stock investors. Integrated scripts into the stock analysis platform to handle large amounts of financial stock data using the Node.js backend.
AI Engineer at xaval.ai
February 1, 2025 - August 1, 2025Performed research in the agentic framework pipeline to generate educational content using LangChain, large language models (LLMs), and related frameworks. Developed automatic text evaluation and improvement methodologies using LLMs and RAGs. Built RAGs and vector databases for AI agent interactions.
Machine Learning Intern at SMTM Capital
May 1, 2023 - November 1, 2023Developed machine learning techniques (supervised and unsupervised) and algorithms for technical analysis of stocks. Performed various time-series financial analyses to assist stock investors. Integrated scripts into the stock analysis platform to handle large amounts of financial stock data using the Node.js backend.
Education
Bachelor of Computer Engineering at Tribhuvan University
November 1, 2019 - July 1, 2024Master of Artificial Intelligence and Machine Learning at Adelaide University
February 1, 2026 - February 7, 2026Bachelor of Computer Engineering at Tribhuvan University
November 1, 2019 - July 1, 2024Master of Artificial Intelligence and Machine Learning at University of Adelaide
February 1, 2026 - February 9, 2026Bachelor of Computer Engineering at Tribhuvan University
November 1, 2019 - July 1, 2024Bachelor of Computer Engineering at Adelaide University
February 1, 2026 - March 7, 2026Qualifications
Neural Networks and Deep Learning
January 11, 2030 - March 7, 2026Data, Data, Everywhere (Coursera Foundations)
January 11, 2030 - March 7, 2026Manage Your LLMs with LLM Ops
January 11, 2030 - March 7, 2026Industry Experience
Software & Internet, Education, Healthcare, Professional Services, Media & Entertainment, Computers & Electronics, Other
Skills
Experience Level
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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