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Schedule Interview NowMy name is Antik P. and I have over 10 years of experience in the tech industry. I specialize in the following technologies: Python, TensorFlow, Computer Vision, Deep Learning, Machine Learning, etc.. I hold a degree in Bachelor of Engineering (BEng), Master's degree. Some of the notable projects I’ve worked on include: Agentic RAG for Legal AI, TryOn AI – Virtual Fashion Try-On, AI Model / Avatar Photoshoot – Hyper-Realistic Virtual Photoshoots, PDS - Personal Data Scientist Chat System, AI-Driven Ad Generation and Editing Platform Using Stable Diffusion, etc.. I am based in Bengaluru, India. I've successfully completed 10 projects while developing at Softaims.
I employ a methodical and structured approach to solution development, prioritizing deep domain understanding before execution. I excel at systems analysis, creating precise technical specifications, and ensuring that the final solution perfectly maps to the complex business logic it is meant to serve.
My tenure at Softaims has reinforced the importance of careful planning and risk mitigation. I am skilled at breaking down massive, ambiguous problems into manageable, iterative development tasks, ensuring consistent progress and predictable delivery schedules.
I strive for clarity and simplicity in both my technical outputs and my communication. I believe that the most powerful solutions are often the simplest ones, and I am committed to finding those elegant answers for our clients.
Main technologies
10 years
8 Years
6 Years
2 Years
Potentially possible
Google India
Agentic RAG for Legal AI is a state-of-the-art, law-focused assistant that extracts precise legal insights from PDFs without hallucination. Leveraging advanced OCR and LLM agents, it accurately retrieves, analyzes, and synthesizes complex legal documents. This powerful tool streamlines case preparation and legal research by delivering data-backed answers, enhancing due diligence, reducing errors, and saving valuable time for law firms and legal professionals.
Developed TryOn AI, an innovative virtual fitting room for fashion e-commerce. Using generative adversarial networks and Stable Diffusion, this AI-driven tool creates diverse model images from a single clothing photo, enabling shoppers to visualize outfits on various body types. This virtual try-on solution boosts customer engagement, enhances purchase confidence, and increases conversion rates while reducing return rates, offering a cost-effective, transformative retail experience.
AI Avatar Photoshoot revolutionizes product imagery with hyper-realistic virtual photoshoots that seamlessly blend garments onto models. Eliminate costly traditional shoots and post-editing. Benefit from 100+ AI models for diverse looks, multi-angle shots for maximum impact, and an eco-friendly, cost-efficient solution tailored for brands and e-commerce.
Introducing PDS - your Personal Data Scientist: a predictive analytics tool that requires zero coding. Imagine effortlessly prepping data, leveraging English queries, and training ML models with just your commands. PDS even produces detailed EDA reports. It's perfect for data enthusiasts, business users, and anyone in need of data-driven insights.
Overview: Developed an innovative AI system for the advertising industry, leveraging cutting-edge text-to-image technology to automate and revolutionise ad content creation. This platform integrates Stable Diffusion, Segment Anything model, and Control Net Models, offering a unique blend of efficiency, customisation, and quality control in ad production. Key Features: - Stable Diffusion Technology: Utilizes advanced text-to-image conversion for generating high-quality ad visuals from textual descriptions. - Segment Anything Model: Enables precise editing of existing ads by segmenting specific image areas for targeted modifications. - Inpainting Feature: Seamlessly integrates new content into designated areas of an ad, enhancing the overall visual appeal and relevance. - Control Net Models: Provides fine-tuning capabilities, ensuring generated ads align perfectly with the creative direction and quality standards. - User-Friendly Interface: Designed for ease of use, allowing marketers to effortlessly input prompts, select control features, and refine outputs. Project Goals: 1. Automation Efficiency: Streamline ad creation, reducing time and resources needed for high-quality visuals. 2. Customization and Flexibility: Facilitate production of tailored ads for various products and themes via simple text prompts. 3. Enhancement and Editing: Enable precise editing of existing ad imagery to reflect desired changes accurately. 4. Controlled Output Quality: Ensure consistency and alignment with creative vision through advanced control mechanisms. 5. Scalability: Capable of handling demands of large-scale campaigns without compromising on quality. Impact: - Creativity at Scale: Empowers limitless creativity in ad creation, unbounded by traditional resource constraints. - Personalisation: Allows for easy generation of audience-specific content, enhancing engagement and relevance. - Resource Optimisation: Reduces costs and production times, making high-quality ad creation accessible to all business sizes. - Environmental Consideration: Minimizes environmental impact compared to traditional photography methods. - Market Responsiveness: Facilitates swift adaptation to market trends and consumer feedback. Conclusion: This project showcases the transformative potential of AI in digital advertising, representing a significant step forward in bridging the gap between ideation and creation. The platform not only enhances creative possibilities but also aligns with modern needs for efficiency, personalisation, and environmental responsibility in content creation. As the project evolves, it continues to set new standards in the advertising technology landscape.
Bachelor of Engineering (BEng) in Computer science
2016-01-01-2020-01-01
Master's degree in Artificial Intelligence