Computer Engineering Student
I engineer robust web architectures and applied machine learning systems, grounded in clean software design and empirical research. Currently open to engineering roles, applied research, and technical collaborations.
Undergraduate computer engineer interested in computational models, full-stack systems, and software that makes complex ideas simple to work with.
The trail starts with curiosity. Where it led is a longer story.
I grew up in Bhakundebesi, a quiet corner of Namobuddha, taking apart every piece of electronics I could find. The devices rarely went back together with the same number of screws, but the habit stuck. That curiosity about how things work eventually led me to computer engineering, where at least a compiler error doesn't leave spare parts on the floor.
My technical work sits between web architecture and applied machine learning. I like turning mathematical and probabilistic ideas into software that is responsive and dependable, along with whatever new technology has my attention that week. To me, code is less syntax than structured reasoning: a way of organizing logic so hard problems become clear and maintainable instead of accidental puzzles. It's architecture for thought, taking a messy idea and shaping it into something people can use without a manual.
Away from the terminal, I'm usually hiking, reading about astrophysics and geopolitics, or watching documentaries that have nothing to do with my coursework. I contain multitudes, or at least a lot of unrelated hobbies. Walking uphill in the hills around Kathmandu does wonders for debugging memory leaks and resetting perspective.
The questions that pull me hardest sit at the edge of what AI can do. What is intelligence once you strip the metaphor away? Is it substrate-independent, or does the substrate help constitute it? Can cognition be fully formalized, or does something essential live only in the embodied, the situated, the social? These questions have engineering consequences. Thinking about where formalization runs out has led me to build interaction systems around behavioral affordances, the real patterns in how people act and anticipate. That shapes what I choose to compute and what I leave to the human.
Film, science fiction, competitive gaming, and writing on AI ethics and space exploration all feed how I think. Good cinema trains attention. Science fiction rehearses possibilities before they arrive. Gaming sharpens strategic reasoning under uncertainty. Writing demands precision. The work absorbs all of it.
यथा यथा पठामि, तथा तथा जानामि यत् मम ज्ञानं अल्पम् अस्ति। सम्पूर्णं विश्वं विशालम् अस्ति, किन्तु तत्रैव सौन्दर्यम् अस्ति।
TL;DR: I've got a computer.
Systems programming, algorithmic thinking, and building reliable software across compiled and interpreted languages.
Python, JavaScript, TypeScript, Java, C++, SQL, Bash, Linux
Responsive interfaces, modern web applications, API architecture, state management, and scalable full-stack systems designed to feel fast, accessible, and intuitive.
HTML/CSS, React, Next.js, Node.js, Tailwind CSS, REST APIs, GraphQL
Building domain-specific AI systems, machine learning pipelines, retrieval-augmented applications, and LLM-powered products grounded in verified context.
Gemini, Hugging Face, PyTorch, Computer Vision, Reinforcement Learning, RAG, LLMs, Prompt Engineering, Qiskit
Designing data infrastructure and knowledge systems that make large collections of information searchable, connected, and useful.
PostgreSQL, MongoDB, Supabase, Vector Databases, Embeddings, Semantic Search, Information Retrieval
Building and deploying production applications with modern developer platforms, cloud infrastructure, version control, and automated development workflows.
Git, GitHub, Docker, Vercel, Cloudflare, CI/CD
Designing secure applications with authentication, authorization, protected integrations, monitoring, error tracking, and product analytics.
Clerk, OAuth, API Security, Environment Secrets, Rate Limiting, Sentry, PostHog
“Build with discipline. Question assumptions. Seek clarity over complexity.”
Engineering roles, applied AI development, and independent software initiatives.
Solvrays
AI that works where insurance actually gets done. Solvrays unifies data, documents, and systems so operational work moves seamlessly across the technology you already have. No rip and replace.
TuringtonLab
An independent space dedicated to building websites, personal and experimental projects, technical documentation, software development, AI and technology experiments, and exploring and building new ideas.
Peer-reviewed and analytical publications in machine learning, risk prediction, and applied AI systems.
Author: Bijay Bartaula
A comparative study of Logistic Regression, Random Forest, and XGBoost for diabetes risk prediction using 100,000 patient records. XGBoost achieved the best performance with an ROC-AUC of 0.9782 and accuracy of 97.14%.
Author: Bijay Bartaula
An exploration of how AI could transform matchmaking and romantic relationships, covering personalization, affective computing, behavioral analytics, and the ethical implications of AI-mediated intimacy.
Author: Bijay Bartaula
A retrieval-augmented generation system designed for academic advising. Combines vector search over institutional curricula with LLM reasoning to map prerequisite dependencies and degree trajectories.
Author: Bijay Bartaula
Unsupervised K-means clustering applied to quantum circuit representations on the IBMQ Athens hardware dataset to identify optimal qubit allocation patterns and reduce gate error overhead.
Author: Bijay Bartaula
Multi-model ensemble combining CatBoost and TabNet architectures on clinical and cognitive datasets to evaluate predictive accuracy for early neurodegenerative detection.
Author: Bijay Bartaula
An exploratory research system translating unstructured scientific observations and tabular measurements into structured, testable hypotheses using automated LLM validation pipelines.
A curated portfolio of full-stack platforms, AI/ML systems, and interactive tools.
Enter the PIN to view the project collection.
Academic foundation in computer engineering, mathematics, and computational systems.
NCIT, Pokhara University
Specializing in software development, computer networks, and artificial intelligence.
Banepa NIST
Completed science stream with focus on Physics, Chemistry, Mathematics, and Computer Science.
SJSS
Foundation education with distinction in Mathematics and Science subjects.
Cornfield Chase
Hans Zimmer
Essays on the mechanics of intelligence, the architecture of software, and the older questions in between. Written here and read in full, with earlier publications on Medium.
“"You are what your deep, driving desire is. As your desire is, so is your will. As your will is, so is your deed. As your deed is, so is your destiny." - Upanishads”
A close reading of a major laboratory's proposal to slow AI development: collective participation, who absorbs the cost of safety, the geopolitical constraint, and the widening distance between what we can build and what we can govern.
One interaction with an AI can rewrite a person's entire impression of intelligence. On the ELIZA effect, the distance between impressive and reliable, and a race that no one is steering.
Inside a chrysalis, a caterpillar dissolves before it flies. On natural struggle as a developmental input, the Stoic shape of responsibility, and why the load is not the obstacle to wings.
No single feature proves a site was built with AI — but pattern stacking does. 37 signs across visual language, typography, layout, animation, copy, and product evidence, and the question that matters: default decisions versus deliberate decisions.
A reflection on the stories that keep returning to power, responsibility, technology, ambition, and human nature. From 2001 and Dune to war films and literary adaptations, each becomes a different lens on what people do with what they are given.
On intellectual omnivores: minds organized by pattern rather than subject — curiosity versus performance, contradiction as habitat, and the loneliness of range.
Google is not allowed — choosing it is a refusal to decide. Polymarket, Claude, and FMHY together cover the path from raw information to durable knowledge: signal, sense, and substrate.
Small lies look free and charge interest, in memory, identity, and trust. An essay on honesty as calibration, and on why a debt taken out against the self is never paid all at once.
What it means that Anthropic and OpenAI have both agreed the race needs brakes.
Jacob Coxon spent three years building the AI systems he now says he's afraid of. On September 8, 2026, he walked away, and didn't go quietly.
An essay on information abundance, epistemic access, and how the bottleneck to knowledge shifted from discovery to asking the right question.
An architectural examination of multimodal foundation models, frontier cognitive scaling, and what upcoming system paradigms reveal about the trajectory of artificial intelligence.
The evolutionary trajectory of AI-assisted software engineering, transitioning from expressive conversational vibes to precise vector contexts and modular cognition.
What specialized skill registries and modular agent ecosystems reveal about how expertise is systematized, packaged, and automated in the age of intelligence.
An architectural examination of how modern software foundations are shifting from deterministic MVC controllers to context-engineered cognition loops.
A meditation on code, competition, and cultural evolution in Nepalese universities.
How deliberate question-craft transforms artificial intelligence from computational tools into collaborative thought partners.
Open to research collaborations, software engineering opportunities, and technical discussions.
Feel free to reach out via email for inquiries, collaborations, or discussions.
Send Emailbijay.algo@gmail.com