Summary
Overview
Work History
Education
Skills
Certification
Projects
Timeline
Generic

MANEESH SINGH

Aspiring AI Engineer
Vadodara

Summary

At OutperformAI, I engineered a cutting-edge Stable Diffusion model, enhancing image realism significantly. My expertise in TensorFlow and Python, coupled with a strong foundation in teamwork and problem-solving, led to a notable reduction in manual inspection time. Leveraging deep learning and neural networks, I drive innovations that align with employer-sought skills.

Overview

1
1
year of professional experience
3
3
years of post-secondary education
7
7
Certifications
2
2
Languages

Work History

Image Generation

OutperformAI
08.2024 - Current
  • Designed and developed a Stable Diffusion model leveraging TensorFlow, Python, and Hugging Face Diffusers library, boosting image realism by 49% as measured by FID scores through advanced training techniques, including attention-based mechanisms, fine-tuning with high-quality datasets, customized noise scheduling, and data augmentation to enhance training diversity and robustness.
  • Introduced automated performance testing, reducing manual inspection time by 40%

Recommender System

DeepLearning.AI
06.2024 - 08.2024
  • Developed a recommendation system combining Neural Collaborative Filtering (NCF), and deep autoencoder, implemented in Python, Hugging Face Transformers, and TensorFlow and enhanced data quality and model performance by 25% via PCA, SVD, visual embeddings and textual embeddings.
  • Reduced recommendation generation time by 60% by combining collaborative filtering with matrix factorization and employing efficient batch processing, quantization, caching, indexing, model pruning, parallel computation, and leveraging GPU acceleration for model training and inference, resulting in faster real-time recommendation delivery and improved system throughput.

Education

Bachelor of Science - Information Technology

Parul University
Vadodara, Gujarat
07.2022 - 06.2025

Skills

Python, R

Certification

Machine Learning Specialization (DeepLearning.AI and Stanford University)

Projects

Sentiment Analysis using Transformer

September 2024- October 2024

OutperformAI- Vadodara, Gujarat

● Architected a cutting-edge sentiment analyzer leveraging Transformer architecture, expertly calibrating hyperparameters to unlock 90% accuracy in sentiment classification, a 20% improvement over state-of-the-art benchmarks.

● Crafted a scalable sentiment analysis pipeline, seamlessly integrating pre-trained language models with custom features, to deliver a 30% increase in F1-score and a 25% reduction in inference time.

Image Classification using ConvNeXt

July 2023- October 2023

Parul University- Vadodara, Gujarat

● Engineered a ConvNeXt architecture and designed a data pipeline to train it on CIFAR-10 dataset, achieving an impressive 91% accuracy on the test set, surpassing baseline models by 27%.

● Applied dropout layers, effectively reducing overfitting and boosting model robustness, resulting in a 27% increment in validation accuracy.

Timeline

Deep Learning Specialization (DeepLearning.AI)

01-2025

Machine Learning Specialization (DeepLearning.AI and Stanford University)

12-2024

Introduction to Statistics ( Stanford University)

12-2024

Version Control (Meta)

12-2024

Responsible AI for Developers (Google Cloud)

12-2024

Generative AI for Developers (Google Cloud)

10-2024

Image Generation

OutperformAI
08.2024 - Current

Exploratory Data Analysis for Machne Learning (IBM)

07-2024

Recommender System

DeepLearning.AI
06.2024 - 08.2024

Bachelor of Science - Information Technology

Parul University
07.2022 - 06.2025
MANEESH SINGHAspiring AI Engineer