Hi, I'm @subash
Building production-ready AI systems for real business outcomes.
Remote AI/ML engineer focused on GenAI products, RAG systems, and LLM reliability.
Work Experience
End-to-end ownership across research → implementation → deployment → evaluation, collaborating with cross-functional teams to translate business goals into deliverable AI features.
Scopic Software LLC
Remote AI/ML Engineer
Oct 2024 - Present
- •Contributed to development and maintenance of a conversational AI platform with AI-driven features
- •Led development of GenAI chatbot with LangGraph, RAG pipelines, and Qdrant for intent detection and contextual responses
- •Conducted R&D on audio feature extraction using Parselmouth, Librosa, and Praat
- •Estimated AI project scope with man-hour granularity for internal and client-facing projects
- •Maintained AI service layer of an assessment platform: question generation, grading logic, prompt engineering
- •Implemented evaluation pipelines for chatbot and RAG performance assessment
- •Contributed to keyword research and SEO SaaS platform as full-stack developer
Tech Stack
GenAI Chatbot
Led development and deployment of a GenAI chatbot integrated with CRM for intent detection, user info extraction, contextual responses, and analytics tracking.
- Conversation classification and routing via LLM
- Intent detection and user info extraction
- CRM integration for sales pipeline
- SEO tracking: referrer, session time, last visited page
Voice AI Platform (STT/TTS + Agent)
Built and maintained a voice-agent layer in a legacy AI receptionist system, including speech-to-text, text-to-speech, and conversation orchestration in production.
- Integrated STT and TTS services into legacy receptionist workflows
- Maintained production voice flows with robust fallback handling
- Improved conversation continuity across voice turns and handoffs
- Delivered end-to-end voice features from implementation to rollout
Assessment Platform AI Services
Maintained and expanded the AI service layer of an assessment platform: question generation, grading logic, prompt engineering, and end-to-end GenAI integration.
- Various types of question generation
- Automated grading logic
- Prompt engineering optimization
Peace Nepal Dot Com
AI/ML Engineer
Jul 2024 - Nov 2024
Designed and developed chatbots for Banking, Travel, and Customer Support use cases. Implemented RAG and multi-agent frameworks for enhanced responses. Integrated databases and knowledge sources. Deployed interactive web chat applications.
Icebrkr AI Solutions
AI/ML Engineer
Mar 2024 - Jun 2024
Engineered real-world AI solutions using machine learning. Built scalable ML models for data analysis and automation. Optimised and deployed models for production in cloud environments. Collaborated with cross-functional teams.
Contentio Lab Pvt. Ltd.
Kathmandu, NepalData Analyst
Aug 2021 - Apr 2022
Analysed large datasets using Python to identify trends and patterns. Created data visualisations using Matplotlib and Seaborn. Developed data pipelines leading to 20% reduction in processing time. Supported data-driven decisions across marketing and sales via customer segmentation and churn prediction.
iMark Private Limited
Frontend Intern
Oct 2020 - Jan 2021
Developed a to-do web application using React.js with task creation, management, and completion features. Implemented a CRUD backend for data persistence. Integrated secure login component using React for user authentication.
Budhanilkantha Education Services
Kathmandu, NepalTutor
Oct 2018 - Apr 2019
Tutored A-Level Computer Science. Helped failing students obtain passing grades. Developed personalised lesson plans and provided targeted exam preparation strategies.
Projects
notsubashRoast My Startup
Multi-agent startup idea critique with five parallel judges (VC, Engineer, PM, Customer, Competitor), a LangGraph debate, moderator synthesis, and founder appeals. Next.js frontend with a FastAPI SSE run engine, durable SQLite event log, and optional semantic memory.
Activity Recognition
Classified human physical activities (walking, jogging, sitting, typing, etc.) using XGBoost on accelerometer and gyroscope data from smartphones and watches. Hyperparameter tuning via random search achieved >85% accuracy.
Steam Video Game ML
Explored the evolution of game genres on Steam using network analysis. Identified emergent sub-genres, influential genre nodes, and key drivers of player engagement including ratings, achievements, and pricing models.
Wikipedia Adminship
Investigated social network dynamics within Wikipedia's administrator election process. Calculated centrality measures, performed community detection via hierarchical clustering, and analyzed voting blocs.
Floki eCommerce
Full-stack e-commerce application built with the MERN stack. Features include product browsing, searching, filtering, cart management, user authentication, order processing, and payment integration with Redux state management.
Sharing
Publications
Wikipedia Adminship Network Analysis
Investigated social network dynamics within Wikipedia's administrator election process using centrality measures and community detection.
Recommendations
LinkedIn Posts
Blog
Education
Master of Science in Data Science
Statistics, Machine Learning, Social Network Analysis, Data Science Applications. Thesis: Machine Learning the Steam Video Game Database. Grade: Merit.
BSc (Hons) Computing
Computer Science Fundamentals, Software Engineering, Databases, Networking, Cloud Computing. Thesis: Floki, An eCommerce Web Application. Grade: 2:1.
