Passion Fuels Purpose, Code Drives Progress
Biography
Hi, I'm Anuj Gaida, a passionate AI Engineer and Computer Engineering graduate based in Bhaktapur, Nepal. With over 2 years of hands-on experience building and deploying production-grade AI solutions, I specialize in the intersection of large language models, agentic workflows, and cloud-native engineering.
Throughout my career, I've designed and deployed robust AI agents using frameworks like LangGraph and LangChain, optimized local LLMs for low-latency inference using tools like vLLM and Ollama, and built complex backend pipelines with Django and FastAPI. My expertise also extends to Geospatial AI, deep learning models for satellite/drone imagery, and AWS infrastructure development.
As an AWS Certified Solutions Architect, I bring a strong DevOps and MLOps mindset to every project, ensuring that machine learning systems are not only mathematically sound but also highly scalable, containerized, and maintainable in real-world production environments.
Years Experience
Projects Served
AWS Certified
Technical Skills
AI & ML Frameworks
LLM Serving & Optimization
Backend, Databases & DevOps
Geospatial & Automation
Experience
AI Engineer
Naxa Pvt. Ltd. — Kathmandu, Nepal
- Built an end-to-end AI agriculture bulletin system using LangGraph agents, RAG pipelines, locally-served LLMs, and Django to auto-generate municipality-templated PDF bulletins.
- Designed and deployed production-ready AI agents using Python, LangChain, and LangGraph with multi-step reasoning and tool integration.
- Served and optimized local LLMs using vLLM, llama.cpp, and Ollama for low-latency production inference.
- Fine-tuned open-source LLMs using LoRA/QLoRA and applied quantization (GGUF, GPTQ, AWQ) for resource-constrained deployment.
- Implemented geospatial AI pipelines using OSM, NetworkX, GeoPandas, and QGIS for spatial querying, analysis, and visualization.
- Developed semantic segmentation models for drone imagery analysis including road extraction, building footprint, and damage detection optimized for Nepalese contexts.
- Deployed AI models as scalable inference services using FastAPI, Docker, and AWS (SageMaker/EC2).
- Supervised day-to-day tasks of junior team members, ensuring alignment with project goals, timelines, and engineering best practices.
AI Automation Expert
Food And Agriculture Organization of UN — Kathmandu, Nepal
- Developed agentic AI solutions for automated proposal writing and report generation using Copilot Studio, Power Automate, and Power Apps across standardized organizational templates.
- Integrated SQL, Dataverse, SharePoint, and OneDrive data sources to enable context-aware, dynamic document generation via AI agents.
- Automated repetitive tasks, approval workflows, and report formatting using AI-driven agents, improving organizational efficiency.
- Collaborated with FAO teams and stakeholders to tailor AI agents to specific operational and compliance requirements.
Education
Bachelor of Computer Engineering
Khwopa College of Engineering — Tribhuvan University
Relevant Coursework: Data Structures & Algorithms, Machine Learning, Artificial Intelligence, Deep Learning, Cloud Computing, Database Systems, Software Engineering, Computer Networks, Operating Systems.