Mantosh Kumar
@mantoshkumar
Python full-stack developer delivering LLM-powered products with strong Django/React and REST API expertise.
What I'm looking for
I’m a Python full stack developer with 7+ months of industry experience building end-to-end web applications using Python, Django, React.js, REST APIs, and MongoDB. At Airtel Digital, I delivered LLM-powered AI agents, MVC-based systems, and NLP-driven dashboards that directly improved performance and reliability.
What I’m proud of is turning complex failures into fast, actionable outcomes—cutting Video Start Failure diagnosis time from hours to seconds and reducing support escalations by 40% using a Python root-cause classification engine with MongoDB pipelines. I also built an automated ticketing system with confidence scores and an NLP-powered React dashboard that unified real-time and historical metrics.
I enjoy combining system design fundamentals with practical engineering: building Django REST APIs for ML-backed features (like keyword extraction and CTR prediction, boosting engagement by 60%) and shipping responsive, user-focused interfaces. I’m especially motivated to keep working on agentic AI, NLP, and scalable full-stack products where measurable impact matters.
Experience
Work history, roles, and key accomplishments
SDE Intern
Airtel Digital
Jan 2025 - May 2025 (4 months)
Architected an end-to-end LLM-based AI agent and built an automated ticketing system, cutting video start failure diagnosis time from hours to seconds and reducing support escalations by 40%. Developed an NLP-powered React.js operational dashboard to unify metrics and improve Airtel/Xstream SLA performance.
SDE Intern
Airtel Digital
Aug 2024 - Nov 2024 (3 months)
Built a full-stack Django MVC + React.js template catalog system, automating template analysis and reducing manual effort by ~50%. Developed Python/Django REST APIs serving ML models for keyword extraction and CTR prediction, boosting campaign user engagement by 60%.
Research Intern
NIT Patna
Feb 2024 - Jun 2024 (4 months)
Trained CNN, DNN, and RNN models for multi-class emotion classification and applied LIME explainability to produce interpretable predictions across 6 emotion classes.
Education
Degrees, certifications, and relevant coursework
Q Spider / J spider
Java Full Stack Development certification, Java Full Stack Development
2026 - 2026
Grade:
Activities and societies:
Completed a Java Full Stack Development course/certification at J spider
CSVTU (Chhattisgarh Swami Vivekanand Technical University)
Bachelor of Technology (B.Tech), Computer Science and Engineering
2021 - 2025
Grade: CGPA: 7/10
B.Tech in Computer Science and Engineering at CSVTU (2021–2025), covering core topics such as DSA, DBMS, Operating Systems, Computer Networks, and Software Engineering.
Udemy
Machine Learning certification, Machine Learning
Completed a Machine Learning course/certification on Udemy.
Availability
Location
Authorized to work in
Job categories
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