Binu George
@binugeorge
AI/ML engineering student building LSTM, RAG, and computer-vision solutions—seeking an internship to deliver measurable impact.
IndiaWhat I'm looking for
I’m an AI/ML engineering student (B.E. Artificial Intelligence and Machine Learning) focused on turning data into reliable decisions. I’m motivated by learning fast, applying strong fundamentals, and shipping solutions that can genuinely help real users.
In my recent experience, I built an AI-powered predictive network monitoring system for SD-WAN over MPLS environments. I used machine learning and LSTM for anomaly detection and time-series forecasting, integrated Retrieval-Augmented Generation (RAG) with a self-hosted LLM for root-cause analysis, and correlated telemetry from SNMP, Syslog, and NetFlow to generate automated incident summaries.
I’ve also developed AI-based applications across domains, from Transformer-based satellite road extraction and graph-theoretic resilience assessment to a tourist safety platform using geo-fencing, live alerts, and a blockchain-based identity approach. I earned 1st Place – Smart India Hackathon (Internal College Selection Round), and I’m eager to bring this hands-on engineering mindset to an internship where I can contribute and keep growing.
Experience
Work history, roles, and key accomplishments
Predictive Network Copilot
NetGuardian AI
Developing an AI-powered predictive network monitoring system for SD-WAN over MPLS using LSTM-based anomaly detection and time-series forecasting for congestion and latency. Building RAG-enabled root-cause analysis by correlating telemetry from SNMP, Syslog, and NetFlow, and generating automated incident summaries.
AI Road Network Analysis
Route Resilience
Jan 2025 - Jan 2026 (1 year)
Developed an AI-powered road extraction system for satellite imagery using deep learning computer vision to reconstruct continuous road networks from fragmented masks. Implemented road bottleneck detection and resilience assessment using graph centrality metrics, including disaster simulation for road closures and infrastructure failures.
Tourist Safety Platform
Safe Yatri
Jan 2024 - Jan 2025 (1 year)
Built an AI-powered tourist safety platform with real-time monitoring and incident response using geo-fencing and location-based alerts for entry into high-risk zones. Designed a blockchain-based digital identity system and emergency alert workflows with live location sharing to enable rapid response and automated incident reporting.
Education
Degrees, certifications, and relevant coursework
HKBK College of Engineering
Bachelor of Engineering, Artificial Intelligence and Machine Learning
2023 - 2027
Grade: 7.3
Pursuing a Bachelor of Engineering in Artificial Intelligence and Machine Learning at HKBK College of Engineering, Bengaluru, from 2023 to 2027.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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