Full Stack Developer. Code Meets Creativity.
Final-year Computer Engineering student passionate about full-stack development, AI integration, and designing real-world solutions with clean code and strong intent.
About
Hi! I’m Taslim Ansari, a final-year Computer Engineering student from Rizvi College of Engineering, Bandra(W) affiliated to Mumbai University with a passion for full-stack development and problem-solving. I enjoy turning ideas into functional, user-friendly web applications using technologies like React, Node.js, and MongoDB.
I’ve worked on AI-powered chatbots, facial recognition systems, and RESTful APIs — always aiming to build purposeful solutions. I'm continuously learning, exploring new tools, and refining my skills to stay ahead in this evolving tech space.
Beyond code, I’m deeply interested in psychology and spirituality — all of which inspire my creative process as a developer.
Resume
Work Experience
Boron Corporation
March 2025 - April 2025(1 Month)
Full Stack Developer Intern
Collaborated with the development team on assigned web-based projects and feature implementation.
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Contributed to frontend components using modern HTML, CSS, and JavaScript frameworks.
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Maintained clear communication through internal tools while adhering to company workflows and team coordination practices.
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Gained practical exposure to real-world software development in a remote collaborative environment.
My Education
Rizvi College of Engineering
2022-2026Bachelor of Engineering in Computer Engineering, Mumbai University
Currently in Final Year – Focused on full-stack development, database systems, and AI-integrated applications.
Thakur College of Science and Commerce
2020-2022Higher Secondary Certificate (HSC), Science Stream
Graduated with 80% – Developed foundational knowledge in physics, mathematics, and computer science.
St. Xavier’s High School
2020Secondary School Certificate (SSC)
Graduated with 86.4% – Excelled in mathematics and logical reasoning, with early interest in technology and problem-solving.
Certifications
Cybersecurity & Digital Forensics Workshop
Explored digital security principles and forensic techniques to enhance awareness of ethical hacking, threat detection, and investigative skills.
AWS Academy Cloud Foundations
Completed an in-depth course on AWS core services, pricing models, and architecture principles, building a solid foundation in cloud technologies.
Postman API Fundamentals – Student Expert
Mastered API testing concepts including requests, responses, and environments to streamline and validate API-driven development workflows.
AWS Solutions Architecture – Forage
Designed and explained a scalable AWS architecture using Elastic Beanstalk, improving my understanding of cloud systems and client-facing documentation.
Power BI Workshop – Office Master
Learned to create interactive dashboards and visualize data efficiently, turning raw numbers into actionable insights using Power BI tools.
Projects
Price Tracker – Next.js Dashboard
Developed a responsive user dashboard using Next.js and TypeScript during my internship at BoronCorp. Integrated Bootstrap and LightningCSS for styling, and created structured layouts with state management for dynamic pages like Home, Products, and Notifications.
AI Auto Reply Chatbot
Built a multilingual chatbot using Cohere’s NLP API that simulates human-like conversations in English and Hindi. Custom prompts and language tone controls enable flexible behavior, enhancing smart auto-responses in chat systems.
Attendify – Attendance Optimization
Co-developed a facial recognition attendance system using OpenCV, Tkinter, and MySQL. Focused on secure login authentication and a student management module with features like data saving, photo sampling, and record updates. Published in JETIR journal.
ConversAI – Conversational AI
Engineered a conversational AI system integrating Natural Language Understanding, dialog management, and response generation. Enabled coherent topic-switching across domains like sports and entertainment using OpenAI and HuggingFace APIs.
Jarvis – Virtual Assistant
Developed a Python-based assistant with voice recognition, web browsing, and music control features. Utilized APIs, speech-to-text and text-to-speech libraries to automate productivity tasks in a real-time virtual environment.
YouTube Transcript Summarizer
Built a Python Chrome extension using NLP to generate quick summaries, extract keywords, and analyze sentiment from YouTube video transcripts. Enhanced learning accessibility for researchers and educators by simplifying video content.