About
Software Engineer specializing in Full-Stack Development and Applied AI with experience delivering production software, automation tools, and intelligent applications. Successfully improved document processing accuracy, optimized machine learning inference, and developed scalable web and mobile applications serving real users. Adept at collaborating in Agile teams, leading technical initiatives, and rapidly transforming ideas into reliable software products.
Skills & Expertise (41)
Work Experience
AI Automation Intern
NDTV Profit
Apr 2026 - May 2026
Delivered 4 production-ready software products adopted by 50+ daily active users, executing end-to-end development using Agile SDLC with sprint-based iteration to accelerate time-to-delivery.Designed a modular architecture across all 4 products — applying scalability and performance-optimization principles — tosupport 50+ daily active users with room for future growth.
Software Engineering Intern
Larsen & Toubro Limited
Jun 2025 - Jul 2025
Engineered a production-ready ETL pipeline in Python to automate PDF data extraction across 500+ documents, implementing advanced regex and edge-case debugging to improve parsing accuracy from 75% to 92%. Developed an NLP-based keyword detection module using spaCy and NLTK, following OOP design principles and validating extraction logic through unit tests; reduced manual verification by 60% and improved processing throughput by 3x.
Machine Learning Research Intern
Vivekanand Education Society’s Institute of Technology
May 2025 - Jul 2025
Curated a 5,000+ sample computer vision dataset using OpenCV and data augmentation techniques, building a reproducible data pipeline that expanded training coverage by 91% to improve model generalization and robustness. Implemented and benchmarked 3 deep learning architectures - CNN+LSTM, I3D, and YOLOv8+ResNet-50- in TensorFlow and PyTorch, systematically debugging model performance to achieve 93.87% accuracy and outperform the baseline by 12%. Optimized the model for edge deployment through INT8 quantization and structured pruning, profiling latency bottlenecks to reduce inference time by 40% (150ms to 90ms) while maintaining 93%+ accuracy.
Software Engineering Intern
Essel Fabricators Private Limited
Nov 2024 - Dec 2024
Built a full-stack quality management system using TypeScript, Next.js 14, React 18, and PostgreSQL, serving 15+ users; digitized 500+ inspection records and reduced retrieval time by 80%. Engineered OCR-based document automation using Google Cloud Vision API, following SOLID principles to process 40+ documents monthly at 95% accuracy and save 10+ hours of manual data entry weekly. Optimized SQL queries with indexing to achieve sub-100ms response times (25% improvement), and implemented RBAC with JWT authentication and real-time data synchronization via WebSocket, maintaining Git-tracked code reviews across the full development lifecycle.
Education
B.E. Computer Engineering - Vivekanand Education Society’s Institute of Technology
- 2026 · Afghanistan
Certifications
Claude in Amazon Bedrock
Anthropic · 2026
Model Context Protocol: Advanced Topics
Anthropic · 2026
Al Fluency Framework & Foundations
Anthropic · 2026
Claude Code in Action
Anthropic · 2026
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Skills (41)
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