CV

Education

• M.S. in Machine Learning, Stevens Institute of Technology, 2023
• B.Tech. in Computer Science and Engineering, Manav Rachna International Insitute of Research and Studies, 2020

Work Experience

• Nov 2023 - Present: Machine Learning Engineer
  • MetaFrazo (Chicago, IL) - Remote
  • Develop and optimize cutting-edge NLP algorithms and models for voice cloning, real-time translation, and lip sync, while continuously improving user experience and interface design
  • Supervisor: Shrikar Lekkala
• Aug 2023 - Nov 2023: Machine Learning Intern
  • Jelloow (Chicago, IL) - Remote
  • Led the Data Science Team to enhance machine learning models by 85% through strategic selection of external data sources and integration of Supabase, while also pioneering the utilization of Generative AI for brand marketing transformation
  • Supervisor: Jolien Demeyer
• Nov 2019 - Mar 2020: Research and Development Engineer
  • Defense Research and Development Organisation (DRDO)
  • Developed and implemented innovative strategies to enhance digital signature security and efficiency while leading research efforts and website integration projects
  • Supervisor: Shantanu Chatterjee
• Jun 2019 - Aug 2019: Machine Learning Intern
  • Techexplica
  • Implemented machine learning algorithms such as RNN, CNN, and XGBoost in PyTorch for analyzing over 10,000 data points while optimizing processing efficiency and engineering a scalable data system for improved operations
  • Supervisor: S Dileep

Skills

• Programming Languages: Python, PySpark, SQL, R
• ML Frameworks: TensorFlow, Keras, Scikit-learn, OpenCV, PyTorch
• Ensemble Learning: Random Forest, XGBoost
• Deep Learning: RNN, CNN, GAN, LSTM, Autoencoders
• Generative AI: Stable Diffusion, Hugging Face Transformers, ChatGPT
• Cloud & Tools: AWS, Alteryx, Google Cloud (BigQuery, GCP Bucket, Cloud Shell, Vertex AI, AutoML), Databricks
• Visualization: R Studio, Power BI, Tableau, Matplotlib, Seaborn, Looker Studio
• Data Management: MySQL, Supabase, Git, GitHub, Notion, Miro, LaTeX, Slack, Jira

Leadership Experience

• Dec 2023 - Present: Student Mentor
  • iMentor (New York, NY)
  • Delivered weekly personalized guidance via platform/app, fostering mentee growth & motivation; attended monthly school events, facilitating support and engaging in pair expeditions
  • Supervisor: Heather Feshbach
• Dec 2022 - Jan 2023: Machine Learning Mentor
  • Momentum AI (Chicago, IL) - Remote
  • Developed and executed interactive machine learning projects to enhance proficiency in Python, SQL, and R, while spearheading collaborative initiatives with students from MIT and Princeton
  • Supervisor: Mark Razanau

Publications

Harshit Kapoor, Akshat Sharma, Janmejay Mohanty, Aanchal Khatri, and Amit Chugh, “Natural Language Processing: Challenges and Application,” International Conference on Smart Technologies in The Field of Engineering, Management & Sciences, vol. 1, pp. 87-93, 2018