Research in Industrial AI for smart manufacturing — machining stability, chatter detection, acoustic monitoring, explainable machine learning, signal processing, and human-in-the-loop annotation systems.
- Developing AudioIno labeling and analysis workflows for machining stability annotation (stable / metastable / chatter regions)
- Acoustic monitoring and spectrogram analysis — comparing PCB, B5, HI10, TASCAM microphones for chatter-relevant signal capture
- Supporting student theses on impact hammer / FRF analysis, microphone comparison, and tool wear prediction
- Contributing to publication planning in Industrial AI, machining dynamics, and low-cost acoustic sensing
- Building reproducible Python/Streamlit workflows for manufacturing data analysis and ML pipelines
Research assistant at the technology transfer centre of the Department of Informatik, University of Hamburg. Worked across four applied AI projects for industry and research partners. Employment reference issued by Dr. Lothar Hotz, CEO HITeC e.V. (October 2024).
- Development of NLP system using BERT, RoBERTa, and LSTM for dataset creation
- Scraping and processing data from Reddit, Twitter, and German news websites
- Development of event detection and extraction system + web app for geospatial mapping with location and severity visualisation
- Extensive work on data analytics for value stream modelling
- Development of deep learning models for energy consumption prediction — progressing towards machine-specific energy use forecasting
- Working on models with LSTM, GRU, and MLP for phase length prediction and energy forecasting in tire curing presses
- Dataset preparation through REST APIs and SQLAlchemy
- Writing high-quality Python code adhering to best practices — scalability and maintainability
- Unit and integration testing to ensure robust solutions
- Design of intelligent sauna systems with AWS DynamoDB and Federated Learning
- Connecting and analysing data from Ouraring and Raspberry Pi sensors
- Incorporating user feedback to enhance system intelligence and functionality
Permanent faculty member — hired directly after achieving Gold Medal / 1st Position in BSCS. Taught undergraduate CS courses and supervised final year projects. Served as Member of Exam Committee and Board of Studies.
- Teaching: Software Engineering, Data Structures, Data Science, Machine Learning, AI, Database, Web Development
- Supervised BSCS final year projects across multiple topics
- Member of Exam Committee and Board of Studies
- Invited to speak at academic conferences and seminars
- Contributed to curriculum development and departmental research activities
- CS Lecturer — taught programming, web development, and CS fundamentals
- CMS development lead — design, debugging, maintenance, and reporting on College Management System
- Campus Coordinator — coordinated between head office and Kotli Campus
- Head of Sports — oversaw all campus sports programmes
- Controller Examiner and Event Manager for campus events
Taught computer science and IT subjects across middle and high school classes. Experience certificate issued August 2017.
Master of Arts in Education — Distance & Non-Formal Education. Focus: educational research, curriculum development, teaching strategies, educational psychology. CGPA 69% · Grade B. Awarded Spring 2020.
Completed intensive internship in web development tools and technologies during BSCS studies. Certificate issued July 2014.
Technical skills
Industrial AI
ML / Deep Learning
Tools & Infrastructure