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John Tharian

@johntharian

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Software Engineer building ML-driven, real-time and secure platforms across backend and UI.

India

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What I'm looking for

I’m looking for a role where I can build ML-powered, real-time backend systems and dashboards, partnering on secure data handling and production-grade event-driven architectures.

I’m a Software Engineer who builds ML-powered systems that work at enterprise scale. At Kitecyber, I built an ML phishing detection system with TensorFlow and achieved 98% detection accuracy across 150+ enterprise customers.

I also engineer production-grade backends and security workflows. I implemented RESTful APIs in Golang for real-time phishing verdicts to 1,000+ devices, designed compliance monitoring in PostgreSQL for 1,000+ Windows/macOS endpoints, and built admin dashboards in React/TypeScript that cut IT admin response time by 60%.

I care about security and reliability end-to-end. I implemented secure remote wipe for Windows using PowerShell and WMI with full audit logging, and automated extension inventory/policy enforcement to save ~4 hours/week. My work also includes ML and search projects with FastAPI, React, Elasticsearch, and vector search (CLIP + Pinecone) and a research paper published on IEEE Xplore.

Experience

Work history, roles, and key accomplishments

Software Engineer

Kitecyber

Nov 2023 - Mar 2026 (2 years 4 months)

Developed a cross-platform desktop application using Wails (Go) and Svelte, serving 150+ enterprise clients across Windows, macOs and Linux environments.
Engineered ML powered phishing prevention system using TensorFlow for Go (tfgo) to analyze website images and OCR-extracted text, detecting and blocking suspicious sites before users interact with them.

Go Python Svelte

Software Development Intern

Zevi.Ai

Oct 2022 - Mar 2023 (5 months)

Built an internal search relevance tool in React and FastAPI integrating third-party product catalog APIs to generate labeled training data, improving ML search ranking models. Analyzed top user queries with Elasticsearch to identify product matching gaps and improved query recall through ranking tuning.

React fastAPI Elasticsearch Search Relevance Producing Training Data

Machine Learning Intern

Difinative Technologies

Nov 2021 - Jul 2022 (8 months)

Trained a YOLO-based object detection model for edge video applications, reaching 92% accuracy on custom datasets for real-time inference. Improved accuracy by 15% by expanding and relabeling datasets using LabelImg and Roboflow.

YOLO Object Detection Computer Vision Python Data Annotation LabelImg Roboflow

Education

Degrees, certifications, and relevant coursework

Government Model Engineering College

Bachelor of Engineering in Electronics and Communication, Electronics and Communication

2019 - 2023

Grade: GPA 3.06/4.0

Activities and societies: Published research paper titled "Automatic Emotion Recognition using TinyML" to IEEE Xplore.

Earned a Bachelor of Engineering in Electronics and Communication, graduating with a GPA of 3.06 (out of 4.0). Published a research paper titled "Automatic Emotion Recognition using TinyML" to IEEE Xplore.