Machine Learning · NLP · LLMs & RAG
Hi, I'm Bishal Sharma
Computer engineering student focused on building robust machine learning systems, intelligent RAG architectures, and AI-driven products that deliver practical real-world impact.
About Bishal
Building purposeful AI with clean, resilient engineering.
I am an aspiring machine learning engineer from Kathmandu, Nepal, dedicated to bridging the gap between algorithmic innovation and practical, reliable software applications.
My focus spans Natural Language Processing, Transformer architectures, Large Language Model agents, and Retrieval-Augmented Generation (RAG) pipelines. I enjoy designing systems that turn complex unstructured datasets into coherent, high-value user solutions.
During my AI Product Development internship at Nexalaris Tech, I helped build and ship production-ready AI features, integrate LLM APIs, construct automated workflows, and build evaluations to ensure safety and precision.
Selected Work
Featured Projects
Hands-on applications spanning LLM systems, computer vision, and AI-enabled software.
SmartEDU
Complete entrance preparation platform engineered to empower students with structured learning tools, curated subject modules, and performance diagnostics.
Facial Skin Detection
Machine learning model designed to accurately classify facial skin types into dry, oily, normal, and acne-prone categories from facial imagery.
Legal Chatbot
AI-driven conversational assistant engineered for accessible legal guidance on the Nepal Constitution, leveraging LLaMA-2 fine-tuned with LoRA, LangChain, and grounded RAG retrieval.
Nepali VCR
Multimodal system combining Visual Question Answering (VQA) and Visual Commonsense Reasoning specifically tailored for low-resource Nepali language contexts.
Career & Education
Experience & Foundation
Hands-on AI product development coupled with rigorous computer engineering foundations.
AI Product Developer Intern
Nexalaris Tech · Janakpur, Nepal
Contributed to end-to-end design, implementation, and deployment of artificial intelligence capabilities powering core software workflows.
- Integrated LLM and vision APIs into production pipelines with robust fallback and error handling.
- Created automated workflows, prompt engineering frameworks, and evaluation benchmarks for generative outputs.
- Engineered backend integration logic and assisted in frontend telemetry and performance monitoring.
Bachelor of Computer Engineering
Tribhuvan University, IOE Purwanchal Campus · Dharan, Nepal
Rigorous four-year engineering curriculum focused on computing architecture, algorithms, data structures, software engineering principles, and machine learning research.
- Core coursework in Artificial Intelligence, Neural Networks, Database Systems, Computer Networks, and Operating Systems.
- Active involvement in tech events, competitive datathons, and open source collaboration.
Competencies
Technical Toolkit
Tools, frameworks, and methodologies applied across machine learning and software engineering.
AI & Machine Learning
Core statistical learning, neural architectures, and natural language modeling.
Backend & Programming
Building resilient APIs, automated pipelines, and backend logic.
Libraries & Frameworks
Data manipulation, mathematical computation, and model frameworks.
Workflow & Methods
Version control, rigorous model evaluation, and team collaboration.
Recognition
Credentials & Awards
Verified specialized training and competitive technical recognition.
Microdegree in Artificial Intelligence
FuseMachines
Rigorous advanced curriculum covering deep learning, natural language processing, computer vision, and mathematical foundations of AI.
Machine Learning Specialization
Coursera · DeepLearning.AI
Comprehensive specialization taught by Andrew Ng, covering supervised learning, neural networks, decision trees, unsupervised algorithms, and recommender systems.
Datathon Winner
ACES & EXCESS 2025 · Dharan
Competitive datathon recognition, solving real-world predictive data modeling and evaluation challenges within timed hackathon constraints.
Get In Touch
Let’s build AI that earns its place in the real world.
I am open to full-time roles, internships, and collaborative research in AI/ML, NLP, and RAG systems. Feel free to reach out directly or send a message.