Traveling
Aman Mall
Mohali
Summary
Highly motivated and results-oriented Machine Learning Developer with 3+ years of experience. Possesses strong analytical, problem-solving, and programming skills with a proven track record of developing and deploying high-accuracy machine learning models. Expertise in NLP, Stable Diffusion, language models, generative models, image generation, and more to drive business growth and create innovative solutions. Innovative ML/AI Engineer with significant experience in designing, implementing, and deploying machine learning models and artificial intelligence systems. Strengths include understanding complex algorithms, programming languages like Python, data analytics, deep learning techniques, and problem-solving skills. Demonstrated success in improving system efficiency and performance through innovative AI solutions in previous roles. Adaptable professional with a quick-learning ability and a talent for adjusting to new environments. Skilled in rapidly acquiring new knowledge and applying it effectively. Driven by a passion for continuous learning and successfully navigating change.
Overview
3
3
years of professional experience
Work History
Data Scientist
Webtunix AI
Mohali
08.2023 - Current
- Developed a customer-facing image generation model using Stable Diffusion
- Generated product descriptions and features using GPT-3 fine-tuning
- Built a hybrid image generation system using GANS
- Streamlined data ingestion and processing for a large-scale analytics platform using Amazon Kinesis and Redshift, enabling faster insights generation
- Created a web application using Flask that allows users to generate personalized avatars based on their preferences using StyleGAN2
- Developed a text-to-image generation model using CLIP and diffusion models, enabling users to create images based on textual descriptions
- Trained a deep learning model to automatically enhance low-resolution images using Generative Adversarial Networks (GANS), improving image quality for various applications
- Developed a serverless image generation pipeline using AWS Lambda and API Gateway, allowing scalable image processing based on user input
- Developed web applications using HTML, CSS, and JavaScript.
- Deployed applications on cloud hosting platforms such as AWS or Azure.
- Written detailed documentation outlining system architecture, design decisions, and coding conventions used in the project.
- Worked closely with systems analysts, engineers and programmers to understand limitations, develop capabilities and resolve software problems.
- Collaborated with engineering teams to integrate ML and AI models into applications.
Data Scientist & Python Developer
RIS AI
Mohali
07.2021 - 08.2022
- Developed custom model architectures and training routines
- Implemented end-to-end deployment routines
- Designed and developed 'Jinni Brain Al,' a travel recommendation system
- Utilized deep learning models for Sentinel data pre-processing and crop classification
- Designed and implemented a cloud-based data lake on AWS S3 for storing and managing diverse datasets, facilitating efficient data access and analysis
- Utilized AWS EC2 instances for scalable model training and deployment, ensuring optimal resource utilization and cost-effectiveness
- Experimented with GANS to generate synthetic medical images for training and evaluation of healthcare Al models, addressing data privacy concerns
- Developed a deep learning model to automatically generate product mockups based on user specifications, accelerating product design iterations
- Performed data analysis, feature engineering and model selection to identify best performing models for predictive tasks.
- Created automated systems that process large amounts of data using various ML techniques such as supervised and unsupervised learning.
- Designed experiments to evaluate the accuracy of different ML and AI models and methods.
- Maintained existing production-level ML and AI systems by monitoring their performance and making changes when necessary.
- Integrated pre-trained ML and AI models into web applications using frameworks such as TensorFlow or PyTorch.
- Developed custom APIs for deploying trained models onto cloud services such as AWS or GCP.
- Designed surveys, opinion polls and assessment tools to collect data.
- Scraped webpages to extract data using Python, BeautifulSoup and Selenium libraries.
- Performed manual data extraction from various websites when required.
- Utilized regular expressions to parse HTML documents for targeted information.
- Assisted in building database systems such as MongoDB, MySQL, PostgreSQL, to store scraped data.
- Configured proxies, user agents and headers while scraping websites.
Education
Bachelor of Engineering - Computer Science and Engineering
Chandigarh University
Mohali, Punjab06-2021
Skills
- Machine Learning
- NLP
- Python
- NumPy
- Pandas
- Scikit-learn
- TensorFlow
- PyTorch
- Hugging Face Transformers
- Generative Models
- Image Generation
- Stable Diffusion
- GANS
- AWS
- Databases
- MySQL
- PostgreSQL
- MongoDB
- DynamoDB
- Automation
- Google APIs
- RESTful APIs
- Fast APIs
- AWS API Gateways
Interests
Fitness
Languages
Hindi
Native language
English
Upper Intermediate (B2)
B2
Quote
The price of anything is the amount of life you exchange for it.
Henry David Thoreau
Work Preference
Work Type
Full TimeLocation Preference
On-SiteRemoteHybridImportant To Me
Career advancementPersonal development programsWork-life balanceCompany CultureWork Availability
monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
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Timeline
Data Scientist
Webtunix AI
08.2023 - Current
Data Scientist & Python Developer
RIS AI
07.2021 - 08.2022
Bachelor of Engineering - Computer Science and Engineering
Chandigarh University
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