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Professional Experience

From building intelligent HR automation systems to enhancing AI-driven surveillance, my experience spans real-world product engineering, AI deployments, and scalable backend solutions. I’ve led cross-functional initiatives and contributed to AI systems used in HR, education, finance, and security.

  • AI Engineering & Deployment
  • Real-time Proctoring & Monitoring
  • Scalable Backend Architecture
  • Data Science & Deep Learning
  • Conversational AI & Bots

Nexasprint Technologies

AI Engineer
Mumbai, India | Jan 2025 – Present

  • Designed and developed a complete AI-powered HRM system that automates policy summarization, document comparison, and employee query handling using DeepLake, Azure OpenAI, and semantic search — reducing manual HR workload and improving response accuracy.
  • Built a real-time exam proctoring solution using YOLOv8 for object detection, along with pose and eye tracking, to detect suspicious behavior and generate automated PDF reports for post-exam audits.
  • Developed a WhatsApp-based financial document chatbot that uses OCR and validation logic to parse submitted files, extract key information, and respond to users with real-time feedback and document status.
  • Improved backend performance and scalability by using Redis for intelligent caching and MongoDB for efficient HR data storage, resulting in faster data access under concurrent user load.
  • Designed an AI-driven RFP Automation & Tender Management System that summarizes tender documents, links clause references, auto-generates structured tables, detects compliance risks, tracks changes across versions, enables in-document annotations, supports semantic search across past RFPs, and allows one-click export to Excel or PowerPoint for leadership briefings.

Learnbay Private Ltd.

Data Science Intern
Remote | Bengaluru, India | Oct 2023 – Dec 2024

  • Trained and deployed object detection models using YOLOv8 for surveillance applications, achieving 96% accuracy in identifying real-time threats and movement patterns.
  • Built deep learning tools for early-stage cancer classification and developed a scalable fraud detection pipeline using Apache Spark for high-volume transaction data.
  • Automated visa document processing using OCR and NLP techniques, reducing manual effort and improving data extraction accuracy for structured forms.
  • Developed a content automation tool using CrewAI to generate YouTube blog material, reducing manual content creation time by 40% and streamlining the publishing workflow.
  • Designed an AI-powered nutrition analysis app that predicts calorie and nutrient content from food images, improving image-based estimation accuracy by 25%.