Utkarsh Dudeja
Applied Research Engineer
WhizHack Technologies Pvt. Ltd.
About
I am an Applied Research Engineer at WhizHack Technologies, working at the intersection of cybersecurity and applied research. My day work is building production ML systems for ICS/OT security — anomaly detection, threat intelligence, and detection systems for industrial networks.
On the personal side, I'm currently working on vision-language-action (VLA) systems and studying reinforcement learning and the math underneath it.
I really like understanding new, interesting ideas — exploring them, rebuilding them from the ground up, and seeing where else they might fit or what I can do with them. I'm an IEEE-published researcher with strong mathematical foundations and engineering skills.
Publications
Decoding Emotions: Emotion Classification from EEG Brain Signals using AI
Published in IEEE· 2023
Experience
Applied Research Engineer
WhizHack Technologies
Apr 2026 – Present · Full-time
Researched and developed a novel multi-layer anomaly detection system from research through production deployment — surfacing zero-day threats such as silent device substitution achieving 5.4× throughput gain and 90% median latency reduction, augmented with causal root-cause reasoning and out-of-distribution evaluation that reduced false positives ~5×. Endorsed by the CTO and now the foundation of an in-progress research paper and patent filing.
Associate Software Development Engineer
WhizHack Technologies
Apr 2024 – March 2026 · Full-time
Independently drove multiple production security systems end-to-end — spanning CVE intelligence, asset discovery, deep packet analysis, and threat intelligence — re-architecting brittle, slow systems into fast, resilient ones (98% faster asset discovery, ~60% faster packet analysis) deployed with zero downtime across 10+ live industrial environments.
Software Development Intern
WhizHack Technologies
Jan 2024 – Mar 2024 · Internship
Contributed to the core R&D team building security systems. Worked with OpenSearch, Fluentd, and Kibana for large-scale security data analysis and visualisation.
Full-Stack Developer Intern
Amity Innovation Incubator
May 2023 – Jul 2023 · Internship
Led end-to-end development of the AppLab platform and modernised the incubator's Angular-based web presence — from architecture and implementation to debugging and performance optimisation.
Projects
Distributed ML System
An end-to-end recommendation system across two machines — real-time streaming, multi-node distributed training, and fault-tolerant, scalable serving, with every reliability claim backed by a fault-injection test.
ATLAS
An agentic SOC pipeline that correlates Wazuh and Suricata telemetry into a single attack timeline, enriches it with threat intelligence, and drives an automated triage decision. Deterministic where it matters; a locally hosted LLM only writes the analyst summary. Built on logs from a live Raspberry Pi sensor setup.
RAG Question Answering
A retrieval-augmented question-answering system over NASA mission documents. Splits and embeds documents into a FAISS vector store, retrieves the most relevant chunks, and answers with a 4-bit quantized Mistral-7B grounded in the retrieved context.
Rust Projects
A progression through Rust, from fundamentals to systems-level work — a Caesar cipher, a port sniffer, and file I/O with mutexes and async. Each is a standalone crate, built while learning the language properly.
Education
B.Tech in CSE with Hons. Specialisation in AI & ML
Amity University, Uttar Pradesh
2020 – 2024
Focused on machine learning, neural networks, and intelligent systems — a foundation that directly informs my approach to building research-driven software. Active in applied projects bridging theory and real-world deployment with electives in Cryptography & Encryption, Cybersecurity, and Cloud Computing — areas that directly shaped the direction of my work.
Certifications
Get In Touch
Whether it's a collaboration, a research conversation, or an opportunity — my inbox is always open.
utkarsh.dudeja@outlook.com