Developing next-generation software, foundational algorithms, and AI/ML architectures.
B.Tech CSE (AI/ML) with Microsoft at Chandigarh University.
Python, C++, Java, Full-Stack and Azure Cloud systems.
Azure AI, Data Fundamentals & DevOps certification roadmap.
Building future-ready AI software and scalable architectures.
Direct Email, LinkedIn, GitHub & competitive coding profiles.
Dedicated to building a career in Software Engineering and AI/ML through continuous learning and relentless practice. Building strong core foundations in computer science, mathematics, and systems.
Pursuing B.Tech Computer Science Engineering (AI/ML) with Microsoft at Chandigarh University (2026 — 2030). Self-teaching Python and foundational concepts in full-stack engineering and machine learning.
Explore Technical SkillsComprehensive 8-Semester B.Tech Computer Science Engineering (AI/ML) course progression with Microsoft.
Robust algorithmic foundation combined with modern high-performance system engineering.
Modern web apps, state-driven interfaces, and resilient client-server distributed architectures.
Architecting deep high-scale engineering pipelines, cloud systems, and competitive algorithms.
Targeted Microsoft certifications aligning academic curriculum with real-world enterprise engineering capabilities.
First win. AI vocabulary, computer vision & NLP fundamentals. Maps directly to Foundation & Application of AI course.
Foundation AI
Sem 1 EndCore cloud concepts, security, architecture, and SLA pricing models. Maps directly to Computer Ecosystem course.
Cloud Core
Sem 2 EndRelational SQL & NoSQL data concepts, warehouses, and analytics workloads. Maps directly to DBMS course.
Data Systems
Sem 3 EndTHE core certification. Python + Azure AI SDK. End-to-end computer vision, NLP, and cognitive enterprise services.
AI Engineering
Sem 5 — 6Data pipelines for ML at scale, Azure Synapse, data lakes, and high-throughput streaming architectures.
Data at Scale
Sem 7CI/CD automation, Kubernetes container orchestration, infra-as-code, and enterprise reliability.
DevOps Expert
Sem 7 — 8Currently architecting intelligent software systems, machine learning models, and full-stack applications. Stay tuned as code repository releases roll out.
Focusing on building production-ready, clean, and mathematically sound systems from first principles before publishing. Current active development tracks include:
Exploratory prototypes integrating Large Language Models, embeddings, and computer vision pipelines.
High-performance reactive web platforms using Next.js, Node.js, and relational database persistence.
Continuous problem solving across LeetCode, Codeforces, and HackerRank mastering dynamic programming & graphs.
Open to software engineering roles, machine learning research collaborations, and building high-impact products. Reach out directly through any channel below.
Available for professional opportunities and technical collaboration.
Connect for software engineering & AI discussion.
Explore source code, foundational algorithms, and systems.
