Ujjwal Singh Basnet

I develop Scalable Machine Learning and AI Systems for real-world applications.

About

I am Ujjwal, a Machine Learning and Applied AI Engineer driven by a passion for turning real-world data into reliable systems that people actually use. I am deeply fascinated by data and the stories it holds. My goal is simple: to continuously apply what I learn to solve practical problems, help businesses grow, and make a positive impact on the community.

Throughout my career, I have spent my time building across the entire machine learning lifecycle. My hands-on experience includes wrangling messy datasets, training custom models, and building user-facing AI solutions like conversational systems. I have moved models beyond experimental environments and into live production, taking ownership of their full post-deployment journey—continuously maintaining performance, analyzing system failures, and optimizing models based on real-world usage and business trade-offs.

Much of my work has focused on consumer-centric platforms, sales environments, and market analysis. I have spent significant time evaluating market behavior, identifying key system parameters, and testing models directly with end users. By analyzing where systems fail and where business processes break down, I have successfully used data and machine learning models to eliminate operational bottlenecks and drive measurable business growth.

Beyond technical execution, I have built strong experience collaborating across teams to drive impactful decisions. I work closely with cross-functional partners to translate complex data insights into clear, compelling stories that both technical teams and business stakeholders can understand. My drive to experiment, learn from failure, and directly apply that experience to everyday challenges has been the core driver of my professional growth.

Outside of work, I step away from my terminal to reconnect with nature. I love spending time around rivers, hills, and mountains, observing the quiet micro-moments of the natural world and capturing them through photography. Being a good listener and a thoughtful observer helps me stay grounded, whether I am analyzing system performance or exploring the outdoors.

Projects

Machine Learning

Krishak: AI-Powered Virtual Farming Assistant

Krishak is an AI-powered virtual farming assistant designed to help farmers make informed agricultural decisions. The platform addresses challenges such as crop selection, plant disease identification, and limited access to reliable farming knowledge by combining machine learning, deep learning, and large language models into a single intelligent assistant.

PythonNLPPyTorchFastAPINext.jsScikit-learn

ChurnPulse — Telecom Customer Churn Intelligence

Customer churn prediction in the telecom industry is the process of identifying subscribers who are likely to discontinue their services before they actually leave. For telecom providers, predicting churn early is valuable because retaining an existing customer is often more efficient than acquiring a new one. An ML-based churn system can analyze customer behavior and account patterns to identify rising churn risk and give the business an opportunity to intervene with targeted retention strategies.

PythonFastAPIPandasScikit-learnClassificationLogRegRandomForestXGBoostCI/CDPostgreSQL

Document‑Aware Conversational AI API

RAG Backend is a purpose-built API that converts unstructured documents into a searchable, conversational knowledge layer so applications can deliver accurate, context-aware answers. It addresses a common shortcoming of large language models, susceptibility to hallucination and lack of source grounding — by combining document ingestion, embedding generation, and fast vector retrieval so the model answers with relevant context and verifiable sources.

RAGVector SearchPythonDockerMLOpsPostgreSQLConversational AI

Skills

Backend & APIs

PythonFastAPIDjango

ML Systems & Training

PyTorchHugging FaceScikit-learnXGBoost

Database & Infra

PostgreSQLSupabaseRedisMySQL

LLMs, RAG & Agents

LangChainRAGQdrantGroqClaude / GPT / GeminiLangGraphPineconeTransformers

DevOps & Delivery

DockerGitGitHub ActionsPostmanCI/CD

Data Analysis & Preprocessing

PandasNumPy

Experience

Machine Learning Engineer · Cherdung InfoTech Pvt. Ltd

Mar 2026 — Present

As a Machine Learning Engineer at Cherdung InfoTech, I develop production-ready machine learning solutions that support business objectives. My work spans the end-to-end machine learning lifecycle, from data preparation and model development to deployment, evaluation, and continuous improvement.

Artificial Intelligence Apprentice · Fusemachines

Jun 2025 — Dec 2025

Completed a six-month AI apprenticeship focused on machine learning, deep learning, neural network architectures, advanced machine learning techniques, AI models, and deployment. Built practical AI solutions through assignments and projects while gaining hands-on experience with diverse machine learning methodologies.

AI and Machine Learning Intern · Fusemachines

Jan 2026 — Apr 2026

Worked on AI and machine learning projects involving data preparation, exploratory analysis, dataset validation, and model development. Conducted technical research, documented findings, and collaborated with cross-functional teams throughout the AI development lifecycle.