About Me
AI/ML engineer with a passion for building intelligent systems
I'm an AI/ML engineer focused on building intelligent applications that bridge the gap between research and real-world impact. My work spans voice AI systems, machine learning pipelines, and LLM-powered applications.
Graduated in Bachelor of Engineering in Computer Science from Chandigarh University alongside a Major in Artificial Intelligence from IIT Ropar, I combine strong theoretical foundations with hands-on engineering experience. From building real-time voice AI receptionists to developing ML-based career recommendation systems, I focus on creating end-to-end solutions that work.
As a published researcher, open-source contributor, and active participant in the tech community, I'm constantly exploring the intersection of AI capabilities and practical engineering.
Education
Bachelor of Engineering in Computer Science
Chandigarh University
CGPA: 7.24
Focused on software engineering, algorithms, and data structures
Major in AI/ML
IIT Ropar
CGPA: 7.0
Machine Learning, Deep Learning, NLP, and Computer Vision
Work Experience
Jan 2026 — Present
Part-Time STEM Educator (Robotics)
BrightChamps
Providing hands-on robotics training to students using industry-aligned kits, enabling practical understanding of core STEM and emerging tech concepts. Fostering critical thinking, problem-solving, and a strong technical mindset through real-world project-based robotics builds.
Ongoing
AI/ML Engineer — Independent Projects
Self-directed
I build intelligent AI applications that bridge machine learning research with real-world products. From Voice AI and conversational agents to RAG pipelines, semantic search, and recommendation systems, I enjoy designing AI experiences that understand context, reason effectively, and solve practical problems. I'm driven by building scalable, production-ready AI systems while continuously exploring the evolving landscape of LLM engineering and open-source AI.
Leadership & Activities
Class Representative
2021 — 2024 | Chandigarh University
CodeChef University Coordinator
Campus programming community lead
2nd Place — Discus Throw
CU Athletic Meet 2023
Research Publication
An Overview of Vulnerabilities and Mitigation Strategies in Facial Recognition Systems
I authored and published a peer-reviewed research paper (DOI: 10.1063/5.0262020) examining the security, privacy, and robustness challenges in modern facial recognition systems. My research explores vulnerabilities such as adversarial attacks, spoofing, data poisoning, and algorithmic bias, while reviewing mitigation strategies including adversarial defenses, liveness detection, and privacy-preserving techniques. This work strengthened my understanding of trustworthy AI, secure computer vision, and the importance of building intelligent systems that are reliable, fair, and resilient for real-world deployment.
View Publication