AKARSHAN GUPTA

AI/ML Engineer | Data Scientist

Mumbai, IN.

About

Highly motivated AI/ML Engineer with a proven track record in designing, developing, and deploying scalable machine learning models and AI applications. Successfully engineered an AI conversational agent handling hundreds of daily queries and optimized predictive models to 90% accuracy. Passionate about leveraging advanced algorithms and cloud solutions to solve complex real-world problems and drive innovation, demonstrated by a 25% reduction in manual legal review time through NLP automation and a 30% reduction in ML evaluation processing.

Work

CsrBox

|

AIML Intern

Mumbai, Maharashtra, India

→

Summary

Led the engineering and deployment of AI/ML solutions, including a conversational agent and predictive models, to enhance business operations and efficiency.

Highlights

Engineered and deployed an AI conversational agent on IBM Cloud for a restaurant website, effectively handling 100s of daily queries and significantly boosting user engagement.

Developed and optimized AI/ML predictive models using IBM Cloud, Watson, and Jupyter, achieving up to 90% accuracy in classification tasks.

Streamlined ML evaluation and generation processes through IBM Cloud automation, enhancing efficiency and reducing manual processing by 30%.

Designed and deployed an end-to-end potato disease classifier via Gradio UI, processing 50 classifications per minute and demonstrating robust cloud deployment.

LetsGrowMore

|

Data Science Intern

Mumbai, Maharashtra, India

→

Summary

Spearheaded multiple data-driven projects, applying advanced ML algorithms and comprehensive data management to deliver actionable business insights.

Highlights

Spearheaded three end-to-end data-driven projects, delivering actionable insights that led to measurable business improvements.

Applied and evaluated machine learning algorithms, achieving a 15% improvement in prediction precision and model accuracy across diverse datasets.

Executed comprehensive data cleaning, feature engineering, and preprocessing on three datasets (totaling 10,000 records) to optimize data quality for advanced models.

Education

A.C. Patil College of Engineering, Navi Mumbai

Navi Mumbai, Maharashtra, India
→
Bachelor of Engineering Computer Science Engineering Grade: 8.29/10.0 CGPA

Certificates

AWS Certified Solutions Architect - Associate

Amazon Web Services (AWS)

Theory of Computer

NPTEL

AWS Cloud Practitioner

Amazon Web Services (AWS)

Skills

Core AI/ML

Diffusion Models, Machine Learning, Deep Learning, Generative AI, Computer Vision, Natural Language Processing (NLP), Model Optimization, Predictive Modeling, Algorithm Development, MLOps.

Programming Languages

Python, JavaScript, C++, PHP, MySQL, TypeScript, Node.js.

Frameworks & Libraries

PyTorch, TensorFlow, React, Next.js, Express, Prisma, NumPy, Pandas, Scikit-Learn, OpenCV, NLTK, Gradio, Bootstrap, Vite.js, Jest, CUDA, Tailwind CSS, Hugging Face Transformers, Matplotlib, FFmpeg.

Tools & Platforms

Firebase, AWS, MongoDB, Git, Apache XAMPP, Jenkins, Docker, IBM Cloud, IBM Watson, Jupyter Notebooks, Version Control (Git), PostgreSQL, Ollama, Azure API.

Projects

LegalEase: AI-Powered Legal Document Processing

→

Summary

Developed an AI-powered system for legal document processing, leveraging advanced NLP and cloud technologies to enhance efficiency and accuracy.

Local AI Chatbot with Ollama & Gemma 2B

→

Summary

Engineered a full-stack, local-first ChatGPT-style AI application, designed for sub-second streaming and robust session management.

Diffusion Motion: Generative Video Synthesis with Diffusion Models

→

Summary

Developed a Python-based system for generative video synthesis, utilizing diffusion models to create dynamic video sequences from AI-generated images.

Food Classifier: Deep Learning for Image Recognition

→

Summary

Developed a robust deep learning model for food classification, addressing common challenges like accuracy, overfitting, and underfitting.