• Hi!
    I'm Aniket

    I am a Tech Lead in AI & Cyber Security Team at ZF Group.
    M.Tech from IIT Bombay.
    Machine Learning & Deep Learning Enthusiast

    Scroll Down to Know More about me

About Me

Hi I'm Aniket Adsule I'm Tech Lead in AI & Cyber Security Team at ZF Group. I am I hold a master's degree from IIT Bombay.

This site tells you more about my career, academics, projects, achievements, interests and hobbies. Explore this site to learn more about me.

Education

  • GPA: 9.19/10
  • M.Tech Specialization: Manufacturing Engineering
  • Interests: AI, IoT and Industry 4.0
  • GPA: 9.35/10
  • University 2nd Topper (Dr. Babasaheb Ambedkar Marathwada University, Aurangabad)
  • Percentage: 83.16/100
  • Maharashtra State Board of Technical Education
  • Percentage: 89.27/100
  • Maharashtra State Board of Secondary and Higher Secondary Education

Projects and Work Experience

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Tech Lead at AI & Cyber Security Team, ZF Group

• Team: AI & Cyber Security
• Responsible for problem definition to solution deployment and works as a solution developer & team integrator.
• Leading a team of 8+ people with a diverse background in complex AI/ML projects.
• Some of the algorithms: Semi-supervised Learning for classification & Object Detection, Generative Adversarial Network, Physics-informed Neural Network, Active Learning Approaches, Unsupervised Anomaly Detection, Surrogate Modelling and Optimization, Digital Twin


Project Research Assistant at Machine Intelligence Program

• Department: IoT and Data Analytics
• Responsible for an entire link from spanning the sensors, the fabrication of the IoT device, its connection to the server and development of Machine Learning models
• Leading a team of 7+ people with a diverse background for ML and IoT based projects


Aumatic Internal Thread Inspection Machine - 3rd Prize in IMTEX-2017, Bengaluru

• Developed a novel method based on monitoring the current data of inspection gauge motor; Implemented pneumatics
• Deployed in Dekson Castings Ltd & Accrete Electromech Pvt Ltd to inspect respective daily 1500 & 5500 components
• Update data of each thread using IoT and employed dashboard for process monitoring
• Project ROI: 642.85%


Remote, Secure, Real-Time Machine Effectiveness & Status Monitoring Solution, Deployed at HAL, Bengaluru

• Developed ESP32 based IoT device, firmware for data collection, its conditioning & transmission to the server using HTTPS
• Developed a back-end ML algorithm & interactive dashboard which generates real-time SMS & email alerts


Reinforcement Learning for Optimal Policy Learning in Condition Based Maintenance

• Objective: Develop an agent for CBM, which prescribes maintenance action & inspection interval for long term cost optimisation
• Modelled multi-objective optimisation problem using Semi MDP with 100 states, 4 maintenance action & 19 inspection intervals
• Developed Reinforcement Learning based Q-learning algorithm (SMART algorithm) to prescribe optimal policy


Machine Learning Based Image Classification System to Predict Changing Fashion Trends

• Objective: To classify garment into full sleeve, half sleeve and ¾th sleeve using ML algorithms
• Utilised OpenCV for image pre-processing like background removal & thresholding and employed KNN, SVM, Decision Tree, Gradient Boosting classifier using scikit-learn python libraries along with hyper parameter tuning & cross-validation technique
• Compared their performance using accuracy, ROC & confusion matrix & got best accuracy of 95% using KNN


Furnace Automation with Remote Intelligent Control

• Developed a cyber-physical system using a regression data model
• IoT with Interactive dashboard for real-time monitoring & remote control
• The retrofitted furnace can perform complex heat treatment cycles with user-defined temp., holding time & ramp rates


Development of Web application for Smart Manufacturing

• Transforming conventional factories into intelligent factories with Smart Web application
• Implemented OEE, schedulling and maintenace related analytics
• Connected external sensor with application


Real time Health Monitoring Sytem using IoT and Data Analytics for National Salt Satyagraha Memorial Monument, Dandi

• Very prestigious project of Gov. of India, inaugurated by Hon’ble PM of India
• To perform on board FFT with Accelerometer & strain gauge data
• To develope interactive dashboard with warning system


Key Achievements

Research Article Published 2020

Title: Reinforcement Learning for Optimal Policy Learning in Condition Based Maintenance

Journal: IET Collaborative Intelligent Manufacturing

Best Demonstration Award in COPEN 2019 2019

Awarded by: International Conference on Precision, Meso, Micro and Nano Engineering, IIT Indore.

Demonstartion Entitled: Condition Based Maintenance Learning Using SMART Algorithm.

Contact

aniket.s.adsule@gmail.com

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