Nishchal Sharma

Software Engineer | Backend, AI/ML Systems & Cloud

/02 — experience

A track record of building useful AI.

From research and evaluation to cloud deployment, I work across the full lifecycle of intelligent products.

01

AI/ML Researcher/Engineer

NSDevil Co., Ltd.

Aug 2026 — Present

South Korea

  • Developing an AI-based automated scoring system for Korean schools across Korean and English subjects.
  • Running controlled experiments with Quadratic Weighted Kappa (QWK) to improve prediction consistency and scoring reliability.
  • Performing rubric-level error analysis to identify failure patterns and guide iterative improvements.
AI EvaluationQWKError Analysis
02

AI/ML Engineer

MIAM Technology Pvt. Ltd.

Apr 2026 — Jul 2026

Kathmandu, Nepal

  • Enhanced RoamX restaurant recommendations with collaborative, content-based, and geolocation-aware personalization.
  • Provisioned Proxmox VMs as self-hosted inference servers and deployed Qwen2.5 1.5B with llama.cpp for local inference.
  • Integrated a Hermes-based employee chatbot with Slack for internal support and knowledge retrieval.
Recommendation SystemsProxmoxQwenSlack
03

Machine Learning Engineer (Freelancer)

Self-Employed

Nov 2025 — Apr 2026

Remote

  • Built agentic AI and RAG solutions with LLMs, LangChain, FastAPI, semantic search, and context-aware generation.
  • Produced technical design documents and applied MLflow and DVC for reproducible experiments and model versioning.
RAGAgentic AIFastAPIMLflowDVC
04

AI Intern

Fusemachines

Oct 2025 — Jan 2026

Kathmandu, Nepal

  • Building QPool, an agentic AI platform for generating MCQs, paraphrases, and distractors with a hybrid multi-agent architecture.
  • Designing multi-stage generation pipelines with prompt engineering, structured outputs, schema validation, formula evaluation, and difficulty-aware processing.
  • Integrating automated quality checks to reduce malformed LLM responses and improve consistency across diverse question formats.
  • Exposing the platform through FastAPI REST APIs and contributing through unit tests, code reviews, and maintainable engineering practices.
QPoolMulti-AgentFastAPIPrompt Engineering
05

Fusemachines AI Fellowship

Fusemachines

Apr 2025 — Dec 2025

Remote

  • Completed an intensive AI training program covering data preprocessing, EDA, feature engineering, classical machine learning, deep learning, computer vision, NLP, LLM fine-tuning, RAG, agentic AI, evaluation, and MLOps.
  • Completed weekly practical assignments across supervised and unsupervised learning, neural networks, and modern generative AI workflows.
  • Built an AI Job Recommender and Career Coach as a capstone project, combining hybrid retrieval, embeddings, and personalized recommendations.
Artificial IntelligenceMachine LearningRAGMLOpsCapstone
06

Machine Learning Engineer

Aakash Labs

Jul 2025 — Oct 2025

Kathmandu, Nepal

  • Built a RAG-based conversational AI using OpenAI APIs, Hugging Face embeddings, and Supabase pgvector for semantic retrieval.
  • Performed end-to-end text preprocessing including cleaning, chunking, embedding generation, and retrieval evaluation with Recall@K, MRR, and NDCG.
  • Explored LangChain RAG workflows and AWS cloud fundamentals.
RAGSupabasepgvectorHugging FaceEvaluation