About
Motivated Computer Science graduate (2026) with one year of industry experience as a Python Developer Trainee at Vyom Systems. Skilled in backend development, REST API design, WebSocket systems, and IoT smart-home integration. Built and deployed machine learning based behavioural prediction systems using Markov Chain, ARIMA, and Random Forest models on real production data. Seeking a backend or ML-integrated engineering role to deliver secure, scalable, and intelligent applications.
Skills & Expertise (23)
Work Experience
Python Developer Trainee
Vyom Systems and Solutions
Jun 2025 - Jun 2026
Developed Python integration modules for the OKAS Smart Home Platform, enabling communication with WiiM, BluOS, and third-party device ecosystems via REST APIs and WebSocket listeners. Conducted research and development on smart home data, mining 1,376+ device events across 3 users to extract usage patterns, build habit profiles, and generate heatmaps and frequency reports. Designed three machine learning prediction models: Markov Chain for next-action prediction, ARIMA for time-series forecasting, and Random Forest for context-based device classification. Built proactive notification engines (time-based and sequence-based) and an Automation Suggester that detects repeated device sequences and recommends one-tap automations. Deployed the full prediction pipeline via a FastAPI REST API with CORS support, configured as a systemd autostart service for production uptime.
Education
B.Tech in Computer Science and Engineering - Manav Rachna International Institute of Research and Studies
2022 - 2026 · Afghanistan
Senior Secondary (Class XII) - Blue Angels Global School
2020 - 2021 · Afghanistan
Secondary (Class X) - Blue Angels Global School
2018 - 2019 · Afghanistan
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Skills (23)
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