aman-vishwakarma

About Me:

I am Aman Vishwakarma, a passionate Data Scientist currently pursuing my Masters in Data Science from Vellore Institute of Technology. I have honed my skills in machine learning, computer vision, and natural language processing through hands-on projects and internships. In addition to my technical skills, I am committed to continuous learning and professional growth. Beyond my academic and professional pursuits, I actively engage in community service through the National Service Scheme (NSS), where I have led various initiatives aimed at social betterment. I am excited to connect with like-minded professionals and explore opportunities to apply my expertise in data science to solve real-world problems and drive meaningful impact.

  • 2023 - 2025
    MSc. Data Science
    Vellore Institute of Technology, Chennai, Tamil Nadu, India.
    CGPA: 9.00
  • 2019 - 2022
    BSc. Mathematics
    University of Mumbai, Maharashtra, India.
    CGPA: 9.24
Mathematics
Statistics
Python
R
SQL
MongoDB
Web Scraping
NumPy
Pandas
Data Visualization
Exploratory Data Analysis
Feature Engineering
Scikit-Learn
Machine Learning
Time Series
TensorFlow
Keras
Deep Learning
Computer Vision
Roboflow
Natural Language Processing
Artificial Intelligence
Power BI
Flask
Docker
GitHub
JIRA
Software Testing
Generative AI
Graph Database (Neo4j)
Vector Databases
Langchain
HuggingFace
LLMs
MLOps
MLflow
DVC
DagsHub
Airflow
Grafana

At Edith Defence Systems, I am working on developing state of the art computer vision and deep learning models that is to be integrated with UAVs (Unmmarmed Aerial Vehicles) to be used for defence purposes.

Here, I am working on developing a "Recommendation System", and I worked on the following modules of the project:

  • Worked on developing end-to-end recommendation systems leveraging NLP techniques, Generative AI, and orchestrating LLMs (LLama 3.1, 3.2), BERT for personalized user experiences.
  • Built and deployed knowledge graphs with Neo4j to structure complex relationships, utilizing Hugging Face for embedding and other LLM implementations.
  • Enhanced the recommendation pipeline through advanced NLP and multi-agent GenAI solutions, incorporating Vector Databases and Knowledge Graphs for scalable insights.

The work I have done here helped me learn and explore LLMs and open-source tools and how these can be used to develop end-to-end AI systems.

At SpectoV, I am worked on pioneering AI-ML projects that form the backbone of our assistive technologies in AR/VR. My responsibilities included:

  • Developing machine learning models that recognize gesture languages using computer vision and convert them into real-time audio.
  • Tuning models and creating lightweight versions for integration into edge devices like AR glasses.
  • Developing AI systems that convert audio into gestures, enhancing accessibility and communication.

This role allowed me to contribute to groundbreaking technologies that bridge communication gaps and promote inclusivity in immersive AR/VR environments.

At Physics Wallah, I worked on computer vision-related tasks in the healthcare domain and learned about end-to-end deep learning and machine learning workflows.

  • Led the development of a holistic BMI prediction solution, integrating deep computer vision, modular workflows, and data scraping techniques for facial images, demonstrating expertise in Python, TensorFlow, Flask, and web scraping.
  • Orchestrated a seamless end-to-end workflow, encompassing data scraping, image processing, and BMI prediction, with streamlined CI/CD deployment on AWS using GitHub Actions and Amazon ECR, highlighting skills in version control, containerization, and cloud technologies.
  • NSS (National Service Scheme) (2019 - 2020)

    During my tenure with NSS, I actively engaged in community service initiatives focusing on environmental conservation, public health, and educational support for underprivileged children. Key contributions include:

    • - Tree Planting: Participated in tree planting drives, enhancing local green cover.

    • - Road Cleaning: Conducted community cleanup activities to improve public spaces.

    • - Blood Donation Drives: Organized and coordinated blood donation camps, ensuring efficient operations.

    • - Health Awareness Campaigns: Distributed health information and educated the community on hygiene, nutrition, and disease prevention.

    • - Teaching Underprivileged Children: Taught and mentored children to improve their literacy and numeracy skills.

    • - Study Material Distribution: Managed the distribution of educational resources to support academic success.

    • - Event Coordination: Led variousonducted community cleanup NSS events, showcasing strong organizational skills.

    • - Community Engagement: Mobilized resources and volunteers to address community needs.

    Through these activities, I developed leadership skills, a sense of social responsibility, and made meaningful contributions to my community.

  • Trekking
  • Swimming

My Work

AeroTrack_AI

Bird vs Drone Detection and Tracking

An end-to-end computer vision project utilizing YOLOv8 Nano to detect and track birds and drones in real-time. The system ensures efficient detection and precise tracking, designed for applications in wildlife monitoring and airspace safety.

ProsePredictor

ProsePredict: Text Forecasting

A Natural Language Processing based next word prediction system using LSTM and GRU, fully customizable for personal data. Advanced text generation with deep learning.

Watch-Guard-AI

WATCH-GUARD-AI: Surveillance

Advanced surveillance system using deep computer vision with TensorFlow, OpenCV, and Streamlit. Powered by LCRN for real-time suspicious activity detection.

Contact Me

amansharma1729ds@gmail.com

+91-7021599617

Download CV