"When the world sleeps, I code, experiment, and build systems that think — one line of code at a time."

class SoureshMondal:
    def __init__(self):
        self.location = "India 🇮🇳"
        self.education = [
            "🎓 MCA @ Jadavpur University",
            "🥇 B.Sc (Hons) in Computer Science @ Ramakrishna Mission Vidyamandira - Gold Medalist"
        ]
        self.experience = [
            "IISER Bhopal Summer Research Intern - Quantum Machine Learning in Finance"
        ]
        self.domains = [
            "🧬 Quantum Machine Learning",
            "🤖 NLP & Transformer Models",
            "🩺 Medical AI & Computer Vision",
            "💻 Full-Stack Web Development",
            "🧠 Generative AI & LLMs"
        ]
        self.goal = "To build intelligent systems that merge scientific curiosity with real-world impact"

• Conducted 8-week research on Quantum ML for financial applications.
• Designed 8+ financial optimization algorithms with proven polynomial speedups.
• Developed 5+ quantum ML models achieving 23% higher efficiency over classical ML.
• Collaborated with a 6-member team, analyzing 200+ test cases with an 18% accuracy gain.

Tech: Python, Qiskit, Quantum Algorithms, Finance Optimization

Detecting malicious PDFs using BERT and NLP pipelines.

• Achieved 95% detection accuracy and 40% faster scans.
• Fine-tuned BERT on CIC-Evasive-PDFMal2022 dataset.
• Technologies: Python, Transformers, BERT, Scikit-Learn 🔗 GitHub Repo

AI-based constellation identification with DenseNet and 3D visualization.

• Integrated DenseNet CNN for sky image recognition.
• Built a full-stack Flask + Three.js web app with user authentication ,astronomy forums & location based light pollution detection.
• Technologies: Python, Keras, Flask, JavaScript, Three.js 🔗 Live Demo

Dermatoscopic image analysis with deep learning and Gemini API.

• Trained ResNet on 10K+ images from HAM10000 & ISIC datasets.
• Integrated Gemini API chatbot for medical insights.
• Technologies: TensorFlow, Keras, Flask, Next.js, Computer Vision 🔗 Live App

LLM-powered assistant for intelligent CLI responses.

• Fine-tuned TinyLlama (≤2B params) using QLoRA.
• Collected 8K+ Stack Overflow CLI Q&A pairs.
• Built with Python, RAG pipeline, and shell integration. 🔗 GitHub Repo

• 🧠 NPTEL Discipline Star & Believer Certificates (2023)
• 🪙 Gold Medalist & 1st Rank — Ramakrishna Mission Vidyamandira
• 📜 Quantum ML Research Intern — IISER Bhopal
• 🏗️ Full-Stack Web Development Bootcamp — Udemy
• 🤖 Generative AI Course — Krish Naik, Sunny Savita & Boktiar Ahmed Bappy
• 💻 Cyber Security — IBM SkillsBuild

Languages: Python, Java, C++, Kotlin, SQL, JavaScript, C#, PROLOG
AI/ML: TensorFlow, PyTorch, Keras, Scikit-Learn, NLP, Computer Vision
Web Dev: React.js, Next.js, Node.js, Flask, Django, Express, Tailwind
Cloud & DevOps: GCP, Docker, GitLab CI/CD, AWS SageMaker

• 🔬 Researching Quantum-enhanced AI systems
• 🧩 Building LLM-powered productivity assistants
• 🧠 Learning Advanced Generative AI & RAG systems
• 💻 Expanding Full-stack development with AI integration