N Nimesh Gautam
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AI Engineer · Researcher

Nimesh
Gautam

Applied machine-learning researcher working on self-supervised representation learning in audio — and a full-stack engineer who ships AI products into production.

M.Tech in Artificial Intelligence Kathmandu, Nepal 3.88 / 4 CGPA
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Nimesh Gautam
Profile

01About

Kathmandu, NepalCivil engineer → AI

I am an applied machine-learning researcher and engineer whose work sits between rigorous experimentation and shipped software. My graduate research at Kathmandu University focused on self-supervised representation learning in audio, where I explored graph-based representations of sound and built reproducible training pipelines around them.

Trained first as a civil engineer, I moved deliberately into artificial intelligence — completing an M.Tech with a 3.88/4 CGPA while building production systems professionally. Today I lead AI engineering as co-founder of Human Edge, integrating large language models into real products, and I teach Python to early-stage undergraduates.

I am drawn to problems where careful methodology and practical engineering meet, and I am actively seeking doctoral research opportunities in machine learning and audio.

Academic record

02Education

Degrees &
qualifications
M.Tech in Artificial Intelligence
Kathmandu University
3.88 / 4 CGPA2021 – 2023
B.E. in Civil Engineering
Pulchowk Campus, Institute of Engineering · Tribhuvan University
67.19%2015 – 2019
Higher Secondary (Science)
Vijayapur Higher Secondary School · HSEB
74.40%2013 – 2015
School Leaving Certificate (SLC)
Vijayapur Higher Secondary School · Nepal Board
81.88%2012
Inquiry

03Research

M.Tech ThesisDec 2022 – Feb 2024
Kathmandu University
Applied Machine Learning · Thesis

Representation Learning Using Self-Supervised Learning in Audio

Designed and trained a self-supervised architecture using a Graph Neural Network encoder for music representation learning.
  • Performed exploratory data analysis on standard audio-music datasets with Python, Pandas, NumPy, Librosa, Torchaudio and Matplotlib.
  • Experimented with converting time-domain audio signals into graph representations.
  • Built a robust, reproducible MLOps training pipeline using MLflow on a local system.
  • Designed, developed and fine-tuned the self-supervised GNN-encoder architecture for representation learning in music.
Practice

04Experience

08/2023 – presentKathmandu, Nepal

Co-founder & Technical Director

Human Edge Pvt. Ltd.·Gyaneshwor, Kathmandu
  • Set technical and engineering direction to build and scale the company's products.
  • Lead AI development, integrating LLMs and LangChain into production via FastAPI microservices.
  • Designed and developed LifeRishi, an AI-powered Vedic astrology app, using React Native, Supabase and LLM integration.
  • Built prompt-engineering and experimentation workflows across multiple LLMs, and deployed AI agents to production.
  • Recruited and built the in-house development team, mentoring engineers and coordinating technical direction.
07/2020 – 07/2022Kathmandu, Nepal

Full-Stack Web Developer

Sigma Capital Pvt. Ltd.·Baluwatar, Kathmandu
  • Collaborated with clients on project planning and execution using Agile methods.
  • Developed backend CRUD REST APIs in NestJS and TypeScript with accompanying documentation.
  • Built frontend interfaces, reusable components documented in Storybook, and an authentication system in React and TypeScript.
Pedagogy

05Teaching

01/2023Kathmandu University

Python Instructor

AI Club, Kathmandu University
  • Designed and delivered a seven-day intensive Python bootcamp for first- and second-year BTech in AI students.
  • Built a hands-on curriculum progressing from Python fundamentals to applied programming, tailored to early-stage AI undergraduates.
OngoingYouTube

Educational Content Creator

@theabcofprogramming
  • Produced tutorial videos on Python basics, Conda environment setup and NumPy for self-directed learners.
Selected work

06Projects

Machine learning
& data
Mini Project

Human Voice Classification

Built a custom six-class human-voice dataset from scratch and trained a Siamese network with a CNN encoder for classification.

Paper Implementation

Image Caption Generation

Replicated an image-caption-generation research paper end to end, reproducing its model architecture and results.

Mini Project

Plant Disease Classification

Performed EDA on the Plant Village dataset, then applied self-supervised pre-training followed by supervised classification.

Mini Project

ETL Pipeline

Scraped an e-commerce site with BeautifulSoup, cleaned and stored data in MongoDB, and served it via a FastAPI endpoint for Power BI.

Toolkit

07Skills

Technical
competencies
Machine LearningPyTorch, LangChain, LangGraph
Data AnalyticsNumPy, Pandas, Matplotlib, Librosa
MLOpsMLflow, TensorBoard
ProgrammingPython, SQL, JavaScript, TypeScript, LaTeX, Git
WebReact, NestJS, FastAPI, Astro, Strapi, HTML/CSS
DatabasesPostgreSQL, MongoDB
LanguagesEnglish, Nepali, Hindi
Endorsement

08References

Academic
reference
✎
Available upon request
A faculty reference from the Department of Computer Science & Engineering, Kathmandu University, can be provided on request to admissions committees and prospective supervisors.
Request reference details →

Let's discuss research.

Open to PhD positions, research collaborations in audio & machine learning, and conversations with faculty.

[email protected]Email gautamnimesh.com.npWeb gtmbuddha2GitHub Request a copyCV