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Software Engineer with less than a year in App Development & AI Engineering.
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Assessing your cultural and operational fit
Innovative Computer Scientist specializing in app development, web design (HTML, CSS, Bootstrap, JavaScript), and robust software engineering with Python, C++, C#, Java, and Assembly Language. Adept at delivering efficient, scalable solutions with a passion for emerging technologies. Fast learner and problem-solver, committed to driving real-world impact through modern software development.
FAST National University of Computer and Emerging Sciences
Bachelor of Science · Computer Science
August 1, 2022 – June 30, 2026
FAST National University of Computer and Emerging Sciences
Teaching Assistant
February 1, 2026 – June 30, 2026
India
Quecko Inc
Internship
June 1, 2025 – August 31, 2025
India
OutfitOrbit APP
June 24, 2026 – Present
Built a full-stack fashion app using React Native and Next.js with Firebase for real-time data sync and authentication. Integrated a custom-trained AI model for personalized outfit recommendations based on user preferences and style history. Implemented Stripe payment gateway for seamless in-app purchases and subscription management.
View ProjectNeural StoryTeller AI
June 24, 2026 – Present
Developed an AI-based story generation system using NLP techniques to create coherent and context-aware narratives from user input. Implemented text processing and model integration to enhance creativity, language flow, and automated storytelling capabilities.
View ProjectMarkdownify-VLM
June 24, 2026 – Present
Developed a Vision Language Model (VLM) pipeline using QLORA fine-tuning on the Qwen2-VL-2B-Instruct model for document-to-Markdown generation from document images. Implemented multimodal training with PyTorch, Hugging Face Transformers, and PEFT, including dataset preprocessing, Markdown generation, evaluation, and Gradio/Streamlit deployment.
View ProjectAWS Cloud VM Deployment and Secure Web Hosting
June 24, 2026 – Present
Provisioned and configured an Ubuntu Server 22.04 LTS EC2 instance on AWS, implementing RSA key-based SSH authentication and scoped security group rules for controlled network access. Enabled graphical remote access via XRDP with a configured desktop environment, and deployed a lightweight Python HTTP server to host and expose a web application through a public IP.
RAG Diagnostic Reasoning
June 24, 2026 – Present
Developed a Retrieval-Augmented Generation (RAG) system for diagnostic reasoning by integrating knowledge retrieval with generative language models. Implemented context-aware response generation to enhance accuracy and reliability in decision-support tasks.
View ProjectPricePulse Supermarket Price Analytics
June 24, 2026 – Present
Developed a data-driven web application that aggregates and analyzes supermarket product prices, enabling real-time price comparison and trend visualization across multiple sources.
View ProjectCultural Fit Analysis
The candidate's diverse academic projects, ranging from mobile app development to advanced AI/ML and cloud infrastructure, demonstrate a broad interest in technology and a proactive learning attitude. The teaching assistant role also indicates a willingness to contribute to a learning environment. The projects align well with a software engineer role that values innovation and full-stack capabilities, particularly with an AI/ML focus. However, the experience is primarily academic, and the target role is generic 'Software Engineer' without specific domain alignment, which limits a deeper cultural fit assessment.
Soft Skills & Operational Fit
The candidate's academic projects and teaching assistant role suggest strong problem-solving skills, a passion for emerging technologies, and the ability to mentor. The project descriptions indicate a structured approach to development and an understanding of real-world application needs. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.