Er. Sailesh Shiwakoti
I like to train deep neural nets on large datasets 🧠🤖💥
About
Computer Engineer and AI Engineer with 2+ years of experience building production AI systems, backend infrastructure, and scalable machine learning applications. My work spans Retrieval-Augmented Generation (RAG), LLM evaluation, computer vision, and cloud-native deployment, with a strong focus on transforming research into reliable production systems.
Experience
AI Engineer
reAlpha (Naamche Inc.) March 2026- Developed production-grade LLM applications using LangChain, LangGraph, OpenAI APIs, and Retrieval-Augmented Generation (RAG).
- Built semantic search pipelines using vector databases, embedding models, rerankers, and hybrid retrieval techniques.
- Designed automated evaluation pipelines for LLM systems using RAGAS, TruLens, and benchmark datasets to measure retrieval quality, faithfulness, and hallucination.
- Implemented scalable backend APIs and asynchronous AI workflows using Django, FastAPI, Celery, Redis, PostgreSQL, Docker, and cloud deployment tools.
- Collaborated with cross-functional teams to integrate AI services into production applications and optimize inference performance.
Machine Learning & AI Engineer
NSDevil, South Korea June 2024 - April 2025- R&D on efficient handwritten recongnition model development using sequence models such as RNN and LSTM
- Set data version control, and deployed containerized AI services(10+) using Docker, docker compose, nginx and certbot
- Created presentation generation systems using LangChain for automated content
- Devleopved APIs with Flask and Django, integrated WebSocket, background jobs to handle concurrent users in real-time
Education
Bachelor's in Computer Engineering
Institute of Engineering, Pulchowk Campus Lalitpur, Nepal Aggregate Score: 82%Online Certifications
AI & Machine Learning
- Samsung: Artificial Intelligence
- Machine Learning Specialization
- Sequences, Time Series, and Prediction
- Generative AI with LLM
- NLP with Classification and Vector Spaces
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning
Development & Cloud
- Meta: Advanced React
- IBM: Docker, Openshift, Kubernetes
- Tutorials Point: Cloud Services, AWS
Cybersecurity
- Cisco, Ethical Hacking Council: Cyber Security
Professional Trainings
Applied Data Science
Samsung Innovation Campus- K-Means, DBSCAN, KNN, SVM, AdaBoost
- Deep Learning, CNN, RNN, LSTM
- Capstone project: Stock Price Prediction combining technical indicators, financial indicators, news sentiments, and macroeconomic factors
Cybersecurity
Logpoint Pvt. Ltd.- SIEM, SOAR, EDR, XDR
- SQL Injection, XSS Attacks, DoS, DDoS
Free Courses
DevOps
Complete DevOps course covering containerization, CI/CD pipelines, infrastructure automation, and cloud deployment strategies.
Reinforcement Learning
Comprehensive reinforcement learning course covering Q-learning, policy gradients, actor-critic methods, and deep RL applications.
Python
Complete Python programming course from basics to advanced topics including data structures, OOP, and practical applications.
Skills & Technologies
AI/ML
Languages
Cloud & DevOps
Featured Projects
GAN Rug Design
Interactive state-of-the-art carpet design application using Generative Adversarial Networks. Built DCGANs to synthesize Persian carpet designs with 85% authenticity.
Nepal Stock Price Prediction
State-of-the-art analysis of share prices for NMB Bank (Nepal). Achieved 4% MAPE for stock forecasting using deep learning with sentiment analysis integration.
Learn AI with AI
AI-powered learning platform for artificial intelligence education. Currently developing an agent that creates mind maps and knowledge graphs from AI research papers.
Nepali Social Media
A social media platform tailored for the Nepali community with features for connecting, sharing, and engaging with culturally relevant content.