Engineering intelligent systems — from model architecture to deployment.
Profile
B.Tech Computer Engineering graduate with a minor in Data Science, specializing in AI/ML, Computer Vision, NLP, and cybersecurity-driven systems.
Experienced in building intelligent, scalable, and security-focused software solutions using modern AI frameworks, machine learning pipelines, and data-driven technologies.
Passionate about engineering high-impact AI solutions that solve complex real-world challenges through innovation, analytical thinking, and advanced system design.
Focus Areas
Open to opportunities — AI/ML engineering roles, research positions, and high-impact internships.
Cnergee Technologies Private Limited
Hands-on across cybersecurity tooling, embedded systems, and live network diagnostics — building real production instincts inside industry workflows.
Security & Threat Detection
Embedded Systems & Networking
Debugging & AI Collaboration
DY Patil University - Ramrao Adik Institute of Technology
B.Tech in Computer Engineering with a Minor in Data Science — building applied AI/ML systems alongside core computer science fundamentals.
Academic Specialization
Applied AI/ML Focus
PACE Junior Science College
Higher Secondary Certificate in the Science stream (PCM + Computer Science) — laying analytical and programming foundations for an engineering path.
Core Curriculum
Skills Built
DAV Public School
Secondary School Certificate — strong foundation across core academics with early curiosity for technology and problem-solving.
Academic Foundation
Early Direction
Deep-learning image classifier trained on CIFAR-10 with a custom CNN architecture, data augmentation, and dropout regularization — with transfer-learning experiments on ResNet.
AWS Academy
October 2025
June 2024
July 2024
Alteryx
September 2024
Alteryx
September 2024
Udemy
June 2025
VidyaLankar Institute Of Technology, Mumbai
January 2025
2024
HP Life
2024
From a simple Obsidian plugin to full agentic pipelines that search, retrieve, and act — here is how the Model Context Protocol and Retrieval-Augmented Generation are being combined to build the next generation of AI automation tools.
Anthropic dropped two bombshells in April 2026 — a publicly available Opus 4.7 and a frontier 'Mythos' model so capable at finding zero-days that the company kept it private. Here's what that means for AI, security, and everyone building on top of it.
AI is now on both sides of every attack. From deepfake phishing to autonomous malware to agentic SOCs, here is what is actually happening in cybersecurity in 2026 — and what to do about it.
Open to AI/ML engineering roles, research collaborations, and meaningful builds. Drop a message and I'll get back to you.
