Contact Information

Email / LinkedIn / GitHub / Google Scholar / Research Gate / Semantic Scholar / ORCiD

Work Experience

Assistant Professor ~ Department of Artificial Intelligence and Data Science @ Vidyavardhini’s College of Engineering and Technology (July’23-Present)

• Courses Covered :
  • Odd Semester : Statistics, Management Information System, Discrete Structures and Graph Therory
  • Even Semester : Recommendation Systems, Cryptography and System Security
• Practicals Covered :
  • Odd Semester : Natural Language Processing, Data Structures
  • Even Semester : Recommendation Systems, Machine Learning
• Department Committee : Placement and Training, Student Council, Technical Magazine, Social Media, Laboratory Head, National and International Level Competitions for Students and Faculty
• Responsibilities : Research and Development University level proposals, Infrastruture Utilization and Maintenance, VCET Techzette Management Head
• Portfolio : NAAC Criteria 4, NBA Criteria 6, IQAC Core Compilation
  
  

Freelancing

Collaborative Researcher (May’21-June’23)

• Working with different engineering college students, mentoring them with their projects and publishing research papers in Springer, IEEE and ACM. Published over 12 papers in 3 months.

Head Mentor of Technical and Strategy @ Last Moment Tuitions (Nov’20-Apr’21)

• Responsible for content creation of 2 courses over 30 hours each. Orchestrated portal development strategies and course marketing.
• Delivered 2 webinars with the Marketing Team and managed 2 interns for the Mentorship Program.
  
  

Education

Master of Engineering in Information Technology
Thakur College of Engineering and Technology - CGPA = 9.49/10.00 - (2019 - 2021)

Publications

• Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis (Oct’22)
• Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification (May’22)
• Optimization Effects for Word Representations with L2-Regularized Non-Parametric Model for Contrasting Epochs (May’22)
• Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor (Apr’22)
• Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods (Mar’22)
• Combining Varied Learners for Binary Classification using Stacked Generalization (Feb’22)
• Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method (Feb’22)
• Refactoring Faces under Bounding Box using Instance Segmentation Algorithms in Deep Learning for replacement of Editing Tools (Feb’22)
• Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis (Dec’21)
• Compendious Comparison of Capsule Network and Convolutional Neural Network through end-to-end Digit Classification Application (July’21)
• Approach to Avoid Resource Exhaustion Caused by Editing Tools for Automating Effects Using Noise Inducing Procedures in Deep Learning (May’21)
  
  

Preprints

• Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification (Jun’22)
• Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media (Apr’22)
• Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network (Apr’22)
• Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations (Feb’22)
• Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication (Jan’22)

Certifications

• Introduction to Corporate Finance, Wharton Online (Apr’22)
• arXiv, cs.LG (Feb’22)
• Fundamentals of Finance, Wharton Online (Oct’21)
• AWS Fundamentals Specialization, Amazon Web Services (AWS) (May’20)
• Business Statistics and Analysis Specialization, Rice Business - Jones Graduate School of Business (May’20)
• Deep Learning Specialization, deeplearning.ai (May’20)
• Machine Learning, Stanford University (Oct’19)
• Digital Image Processing using Wavelets and Machine Learning, Terna Engineering College (Jul’19)

Technical Skills

• Technologies: Machine Learning, Deep Learning, NLP, Web Development
• Programming & Scripting Languages: Python, JavaScript, Java
• Frameworks: PyTorch, TensorFlow, Keras, Flask, SpringBoot, ReactJS
• Tools & Libraries: Pandas, Scikit-Learn, LaTeX

Volunteering

• Training and Placement Co-ordinator at Veermata Jijabai Technological Institute (Nov’22-Jan’23)
• Research Mentor for 5 Masters’ students from different Engineering Colleges (Jan’22)
• Technical Trainer for Machine Learning at RMD Sinhgad School of Engineering, Warje, Pune (Feb’20)
• Technical Trainer for Machine Learning at ANVIRA EDUSTATION, Mumbai (Dec’19)
• Technical Trainer for Machine Learning at Thakur College Of Engineering and Technology, Mumbai (Sep’19)
• Technical Trainer for Deep Learning for Faculties at K. J. Somaiya Institute Of Engineering and Information Technology (Jun’19)
• Technical Trainer for Web Development at Sinhgad Institute of Technology, Lonavala (Sep’18)
• Technical Trainer for Machine Learning at Vidyalankar Institute of Technology, Mumbai (Sep’18)

Awards

• Trophy and Letter of Appreciation for Outstanding Teaching Performance Issued by K. J. Somaiya Institute of Engineering and Information Technology (Jun’19)
• Techathon 2019 - 24 hrs National Level Hackathon - Certificate of Participation Issued by Ramrao Adik Institute of Technology (Apr’19)
• UCoE - 5th National Level Project Exhibition - Certificate of Participation Issued by Universal College of Engineering is association with I.E.T.E. - I.S.F & I.S.A. (Mar’19)
• Err_404 2.0 Hackathon - Certificate of Participation Issued by M.H. Saboo Siddik College of Engineering (Mar’19)
• Hack-Stomp Hackathon 2019 - Certificate of Participation Issued by Universal College of Engineering (Feb’19)
• TSEC Hacks Hackathon 2019 - Certificate of Participation Issued by Thadomal Shahani Engineering College (Feb’19)
• VCET Hackathon 2018 - Certificate of Excellence and Certificate of Participation Issued by Vidyavardhini’s College of Engineering and Technology, Vasai (Oct’18)
• Smart India Hackathon 2018 - Participation Certificate Issued by Ministry of Tribal Affairs (Apr’18)
• NSE Future Tech 2018 Machine Learning Hackathon Participation Certificate Issued by NSE FutureTech Hackathon (Mar’18)
• VCET Hackathon Participation Certificate Issued by Vidyavardhini College of Engineering and Technology, Vasai (Oct’17)