Chetan Arora
@chetanarora
Software Engineer building AI-driven systems with strong full-stack, ML, and developer-automation skills.
What I'm looking for
I’m a Software Engineer who enjoys turning AI into reliable, user-ready products—whether that’s prompt governance across distributed services or shipping customer-facing experiences. I bring hands-on experience across backend, frontend, and ML workflows.
At Ocrolus, I led development of a Prompt Management System (PMS) managing 1500+ prompts across distributed services, introducing versioning and caching to improve governance, reduce latency, and increase throughput. In my internship, I improved document reconciliation accuracy by 30%, built an automated internal regression testing platform (Python + gRPC) that reduced effort by 90%, and built the complete frontend for the company’s first customer-facing AI chatbot.
I also contributed to real-world AI systems through a TIH fellow role with a FaceNet-based biometric attendance system (87% accuracy in classroom conditions) and research accepted at COLIEE 2026 for legal case retrieval. My portfolio spans AI pipelines like handwritten-video-to-animated lectures and a custom fraud detection system using spatio-temporal anomaly detection.
Experience
Work history, roles, and key accomplishments
Leading development of a Prompt Management System (PMS) managing 1500+ prompts across distributed services. Introduced versioning and caching to improve prompt governance, reduce latency, and increase system throughput.
Improved document reconciliation accuracy by 30% across financial documents, reducing manual review effort and operational costs. Built an automated internal regression testing platform with a Python and gRPC backend, and developed the frontend for the company’s first customer-facing AI chatbot while integrating resistant AI fraud detection into the dashboard.
TIH Fellow
Iit Bhilai
Jan 2025 - Jul 2025 (6 months)
Built a biometric attendance system using FaceNet with 87% accuracy in real-world classroom conditions. Developed a MERN-based system with 24-hour image retention, reducing storage usage by 60%.
Education
Degrees, certifications, and relevant coursework
Indian Institute of Technology (IIT), Bhilai
Bachelor of Technology, Computer Science Engineering
2022 - 2026
Grade: CGPA: 9.14
Bachelor of Technology in Computer Science Engineering from the Indian Institute of Technology (IIT), Bhilai (Oct 2022 to May 2026). Holds a CGPA of 9.14.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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