ABOUT
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING ENGINEER
Hello, I’m Shashank a dedicated data science and AI enthusiast with a keen interest in transforming ideas into impactful solutions. With hands-on experience in machine learning, computer vision, and natural language processing, I aim to create meaningful, user-focused projects that make technology accessible and valuable. I’m driven by curiosity, a commitment to innovation, and a passion for continuous learning. Here, you’ll find my latest projects, insights, and aspirations, all crafted with a focus on precision, efficiency, and creativity.
SKILLS
Areas of Expertise
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Natural Language Processing & Sentiment Analysis -
Proficient in NLP techniques to derive real-time insights from large datasets, including sentiment analysis on product reviews, enabling data-driven decisions for customer engagement and satisfaction. -
Machine Learning & Fraud Detection -
Experienced in developing machine learning models to identify patterns in transactional data, contributing to proactive fraud prevention and robust security solutions. -
Computer Vision & Person Identification -
Skilled in person identification and re-identification using advanced models, ensuring high accuracy in tracking and recognition tasks for applications in security and surveillance. -
AI-Assisted Tools & Personalization -
Designed and trained a personalized cooking assistant model using Llama 2, demonstrating expertise in user-centered AI solutions that enhance daily life by offering tailored assistance. -
Text Summarization & Information Extraction
Leveraged Spacy to create efficient text summarization models that condense information, optimizing content for quick comprehension without sacrificing detail.
October 2024 – Present
Software Engineer Intern /
VeeRuby Inc
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Developing an AI Learning Path
Created a structured learning path aimed at enhancing understanding and implementation of AI solutions, with a focus on practical applications for clients. -
Automating AI Monthly Reporting
Spearheaded the design and implementation of an automated reporting system, providing concise monthly AI insights and trends for client distribution, aimed at enhancing data-driven decision-making. -
Building Client-Focused AI Services
Collaborating on developing innovative AI services tailored to showcase the company’s capabilities to clients, with a focus on creating impactful, real-world AI applications.
October 2023 – November 2023
Artificial Intelligence & Machine Learning Intern /
DevMinds
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Hands-on Training in Machine Learning & AI
Completed comprehensive training on ML and AI models, gaining foundational expertise that directly supported project execution. -
Collaborative Project: Text Summarizer Development
Led the development of a text summarizer using SpaCy in a cross-functional team. This solution, optimized for speed, outperformed GPT-3 in efficiency, providing real-time text summarization. -
Cross-Functional Team Collaboration
Enhanced communication and collaboration skills by working closely with diverse teams, ensuring alignment and successful integration of AI solutions.
WORK EXPERIENCE
EDUCATION
Bachelor of Artificial Intelligence and Machine Learning Engineering
Vivekananda Institute of Technology, Bangalore, Karnataka/ Graduated:2025
Real-Time Sentiment Analytics on Live Product Reviews
In this project, I developed an advanced sentiment analysis system designed to process live data streams of product reviews. Unlike traditional sentiment analysis models, which rely on pre-saved data, this system dynamically captures and analyzes real-time feedback to provide immediate insights into customer sentiment. By leveraging robust NLP techniques, it efficiently identifies trends and customer satisfaction indicators as reviews are posted, enabling brands to respond promptly and strategically. This project exemplifies my expertise in building scalable, real-time analytics solutions for impactful business intelligence.
Personalized Cooking Assistant with LLaMA
In this project, I developed a customized AI cooking assistant powered by LLaMA to provide personalized recipe recommendations. The model tailors recipes based on user preferences, dietary restrictions, and available ingredients, creating a seamless cooking experience with adaptive suggestions. It enables users to explore unique culinary options and receive step-by-step guidance, making meal planning efficient and enjoyable. This project highlights my ability to leverage AI for real-time, user-centric applications that enhance everyday experiences.
Person Detection and Re-Identification System
This project focuses on building a robust computer vision system for real-time person detection and re-identification across frames. Utilizing advanced models like YOLO for detection and OSNet with DeepSORT for tracking, the system accurately identifies and re-identifies individuals in dynamic environments. This solution has applications in security monitoring, crowd analysis, and personalized experiences, as it reliably tracks movement and identity across multiple scenes. The project demonstrates my proficiency in integrating cutting-edge object detection and tracking models for complex, real-world use cases.