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
