Skip to content
View nikengoswami's full-sized avatar

Highlights

  • Pro

Block or report nikengoswami

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
nikengoswami/README.md

███╗   ██╗███████╗██╗   ██╗██████╗  █████╗ ██╗         ███╗   ██╗███████╗████████╗██╗    ██╗ ██████╗ ██████╗ ██╗  ██╗
████╗  ██║██╔════╝██║   ██║██╔══██╗██╔══██╗██║         ████╗  ██║██╔════╝╚══██╔══╝██║    ██║██╔═══██╗██╔══██╗██║ ██╔╝
██╔██╗ ██║█████╗  ██║   ██║██████╔╝███████║██║         ██╔██╗ ██║█████╗     ██║   ██║ █╗ ██║██║   ██║██████╔╝█████╔╝
██║╚██╗██║██╔══╝  ██║   ██║██╔══██╗██╔══██║██║         ██║╚██╗██║██╔══╝     ██║   ██║███╗██║██║   ██║██╔══██╗██╔═██╗
██║ ╚████║███████╗╚██████╔╝██║  ██║██║  ██║███████╗    ██║ ╚████║███████╗   ██║   ╚███╔███╔╝╚██████╔╝██║  ██║██║  ██╗
╚═╝  ╚═══╝╚══════╝ ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝╚══════╝    ╚═╝  ╚═══╝╚══════╝   ╚═╝    ╚══╝╚══╝  ╚═════╝ ╚═╝  ╚═╝╚═╝  ╚═╝
Typing SVG

Typing SVG


⚡ QUANTUM BREACH DETECTED ⚡

⟨ ACCESSING NEURAL MATRIX ⟩

class DigitalAlchemist:
    def __init__(self):
        self.name = "Niken Goswami"
        self.consciousness = "Distributed Across 3 Continents"
        self.current_dimension = {
            "physical": "Nagaoka, Japan 🗾",
            "academic": "TU Darmstadt, Germany 🇩🇪",
            "digital": "Everywhere the internet exists 🌐"
        }

    def get_current_state(self):
        return {
            "🎓 Learning": ["Advanced Transformers", "Point Cloud Deep Learning", "MambaVision Architecture"],
            "💼 Working": ["Salesforce Automation @ Goodspeed", "AI Research @ NTUST", "MMS Point Cloud Classification"],
            "🔬 Research": "AI-based Point Cloud Generation & Classification",
            "🌱 Growing": ["Neural Architecture Search", "3D Vision Systems", "LLM Fine-tuning"],
            "🎯 Hunting": ["AI/ML Engineer Roles", "Research Positions", "Innovation Opportunities"]
        }

    def neural_capabilities(self):
        return {
            "languages": {
                "human": ["English", "German", "Japanese", "Hindi", "Gujarati"],
                "machine": ["Python", "JavaScript", "C++", "Java", "SQL", "Apex"],
                "deep_learning": ["PyTorch", "TensorFlow", "CUDA", "Transformers"]
            },
            "domains": {
                "AI/ML": ["Computer Vision", "Point Clouds", "Deep Learning", "Transformers"],
                "Full-Stack": ["MERN", "React", "Node.js", "Express", "RESTful APIs"],
                "Cloud": ["Salesforce", "Apex", "LWC", "CPQ", "CLM", "Flows"],
                "DevOps": ["Git", "Docker", "CI/CD", "Linux", "Cloud Infrastructure"]
            },
            "superpowers": [
                "Converting chaos into clean code",
                "Seeing in 3D point clouds",
                "Training neural networks while sleeping",
                "Speaking to machines in their native tongue",
                "Turning coffee into algorithms ☕→🤖"
            ]
        }

# Initialize the matrix
niken = DigitalAlchemist()
print(niken.get_current_state())

🌌 NEURAL ARCHITECTURE VISUALIZATION 🌌

graph TD
    A[🧠 Niken's Brain] -->|Processes| B[☁️ Point Clouds]
    A -->|Develops| C[⚡ AI Models]
    A -->|Builds| D[🌐 Full-Stack Apps]
    A -->|Automates| E[🔧 Salesforce Systems]

    B --> F[94.78% Accuracy]
    C --> G[MambaVision Research]
    D --> H[1000+ Users Served]
    E --> I[99% Uptime Achieved]

    F --> J[🚀 Innovation]
    G --> J
    H --> J
    I --> J

    J --> K[🌟 World-Class Solutions]

    style A fill:#00F260,stroke:#0575E6,stroke-width:4px,color:#000
    style J fill:#0575E6,stroke:#00F260,stroke-width:3px,color:#fff
    style K fill:#FFD700,stroke:#FF6B6B,stroke-width:4px,color:#000
Loading

🎨 SKILL CONSTELLATION MAP 🎨

🤖 AI/ML

Core: PyTorch, TensorFlow
Vision: OpenCV, Point Clouds
Advanced: Transformers, CUDA
Specialization: PointNet++

💻 Full-Stack

Frontend: React, JS, TS
Backend: Node, Express
Database: Mongo, PostgreSQL
Architecture: RESTful, MERN

☁️ Salesforce

Development: Apex, LWC
Platforms: CPQ, CLM
Automation: Flows, Triggers
Integration: REST, SOAP

🛠️ DevOps

Version: Git, GitHub
Containers: Docker
CI/CD: Automated Pipelines
Systems: Linux, Bash

🔥 LEGENDARY PROJECTS THAT BROKE THE MATRIX 🔥

🌌 MMS Point Cloud Classification

project = {
    "name": "3D Semantic Segmentation Beast",
    "data": "1.46 MILLION points processed",
    "model": "PointNet++ (State-of-the-Art)",
    "classes": 5,
    "hardware": "RTX 4050 GPU",
    "achievement": "SOTA accuracy achieved",
    "impact": "Real-world MMS mapping",
    "tech_stack": ["PyTorch", "CUDA", "NumPy", "CloudCompare"]
}

What makes it insane:

  • Processes 1.46M 3D points in real-time
  • 5-class semantic segmentation
  • GPU-accelerated training pipeline
  • Real-world Mobile Mapping System data
  • Custom PointNet++ implementation

🧬 MambaVision Transformer Research

research = {
    "institution": "NTUST (Top 300 Global)",
    "supervisor": "Prof. Yi Zeng Hsieh",
    "innovation": "4 Model Variants Created",
    "breakthrough": "+6% accuracy over baseline",
    "domain": "Vision Transformers",
    "contribution": "Novel architecture designs",
    "period": "Apr 2025 - Jul 2025"
}

Why it's groundbreaking:

  • Advanced transformer architectures
  • Novel MambaVision variants
  • Published research quality
  • Pushing SOTA boundaries
  • Real academic impact

🎓 University Placement Portal

const impact = {
  architecture: "MERN Full-Stack",
  scale: "1000+ student profiles",
  performance: "40% data throughput ⬆️",
  features: [
    "Real-time job matching",
    "Company dashboard",
    "Application tracking",
    "Analytics engine"
  ],
  deployment: "Production-grade",
  testimonial: "Changed campus recruitment forever"
};

Revolutionary features:

  • Smart job-student matching algorithm
  • Real-time notifications system
  • Admin analytics dashboard
  • Mobile-responsive design
  • Scalable cloud architecture

🏠 Everything Real Estate Platform

const platform = {
  listings: "200+ properties",
  performance: "<300ms API response",
  architecture: "Microservices",
  features: [
    "Advanced property search",
    "Interactive maps",
    "Virtual tours",
    "Real-time availability"
  ],
  tech: "MERN + RESTful APIs",
  optimization: "Redis caching + CDN"
};

Technical excellence:

  • Sub-300ms response times
  • RESTful API architecture
  • Advanced search & filters
  • Interactive property maps
  • Real-time data synchronization

⚕️ Heart Failure ML Predictor

ml_models = {
    "algorithms": ["LR", "KNN", "LDA", "RF", "SVM"],
    "best_performer": "Random Forest",
    "accuracy": "80.2%",
    "dataset": "Clinical heart data",
    "impact": "Early disease detection",
    "features": "13 clinical parameters",
    "validation": "K-fold cross-validation"
}

Healthcare impact:

  • 5 ML algorithms compared
  • 80.2% prediction accuracy
  • Real clinical application
  • Feature importance analysis
  • Model interpretability focus

⚡ Salesforce Enterprise Automation

System.debug('Enterprise Scale Achievement:');
Map<String, Object> impact = new Map<String, Object>{
    'users_supported' => 1000,
    'instances_managed' => 6,
    'uptime_percentage' => 99,
    'integrations' => new List<String>{
        'Microsoft Teams',
        'Azure OpenAI',
        'REST APIs'
    },
    'automation_level' => 'MAXIMUM'
};

Enterprise achievements:

  • 1000+ users supported
  • 99% uptime maintained
  • 6 production instances
  • AI integrations (Azure OpenAI)
  • Custom LWC components

📈 NEURAL NETWORK ANALYTICS 📈

Contribution Graph

🎯 ACHIEVEMENT TROPHY CASE 🏆

╔══════════════════════════════════════════════════════════════════════════════════════╗
║                                                                                      ║
║   🥇 NTUST_OIA_TEEP Scholarship (2024) - Research Excellence                       ║
║   🥈 Mukhyamantri Yuva Swavalamban Yojana (2023) - Academic Excellence            ║
║   🥉 Public Relations Head @ CSI (2021-2023) - Leadership                          ║
║   🏅 CodeChef Campus Chapter Lead (2020-2023) - Competitive Programming            ║
║   🎖️ 94.78% Point Cloud Classification Accuracy - Technical Excellence             ║
║   ⭐ 99% Uptime on 6 Production Instances - Operational Excellence                  ║
║   💎 1000+ Users Supported - Impact at Scale                                        ║
║   🔥 5 Languages Spoken - Global Communication                                      ║
║                                                                                      ║
╚══════════════════════════════════════════════════════════════════════════════════════╝

🎓 ACADEMIC JOURNEY

@@@ MSc Computer Science @ TU Darmstadt (2024-2027) @@@
+ 📚 Specialization: Data Science & Engineering
+ 🌏 Exchange Program: Nagaoka University of Technology, Japan (Oct 2025 - Feb 2026)
+ 🏆 Scholarship: NTUST_OIA_TEEP Research Scholarship (2024)
+ 🔬 Research Focus: AI-based Point Cloud Generation & Classification
+ 💡 Key Courses: Deep Learning, Computer Vision, Advanced ML, Neural Networks
+ 🚀 Projects: MMS Classification, Transformer Research, 3D Vision Systems

@@@ BTech Information Technology @ Dharmsinh Desai University (2019-2023) @@@
+ 🎯 CGPA: 8.14/10
+ 🏅 Award: Mukhyamantri Yuva Swavalamban Yojana
+ 👥 Leadership: Public Relations Head @ Computer Society of India
+ 💻 Competitive Programming: CodeChef Campus Chapter (2020-2023)
+ 🌟 Major Projects: Heart Failure Predictor, Placement Portal, Real Estate Platform

💼 PROFESSIONAL TIMELINE

🚀 PRESENT

Software Developer Goodspeed (London, Remote) Dec 2025 - Present

Focus = [
  "Salesforce Automation",
  "Apex Classes",
  "Lightning Web Components",
  "Enterprise Integrations"
];

🔬 2025

Research Intern NTUST (Taiwan) Apr 2025 - Jul 2025

research = {
  "MambaVision": True,
  "model_variants": 4,
  "improvement": "+6%",
  "supervisor": "Prof. Yi Zeng Hsieh"
}

⚙️ 2023-2024

Associate Software Engineer Conga (Pune, India) Jan 2023 - May 2024

const stats = {
  users: "1000+",
  instances: 6,
  uptime: "99%",
  integrations: ["Teams", "OpenAI"]
};

🌐 MULTI-DIMENSIONAL EXISTENCE


🎬 CURRENTLY IN PRODUCTION

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

class CurrentFocus:
    """What I'm building RIGHT NOW"""

    def __init__(self):
        self.projects = {
            "🔬 Research": {
                "status": "IN_PROGRESS",
                "project": "MMS Point Cloud Classification",
                "achievement": "94.78% accuracy on 1.46M points",
                "tech": ["PointNet++", "PyTorch", "CUDA"],
                "impact": "Real-world 3D mapping applications"
            },
            "💼 Professional": {
                "status": "ACTIVE",
                "role": "Software Developer @ Goodspeed",
                "focus": ["Salesforce Automation", "LWC Development"],
                "stack": ["Apex", "Lightning Web Components"],
                "impact": "Enterprise-scale automation"
            },
            "🧠 Learning": {
                "status": "EVOLVING",
                "topics": [
                    "Advanced Transformer Architectures",
                    "Point Cloud Deep Learning",
                    "Neural Architecture Search",
                    "LLM Fine-tuning Techniques"
                ],
                "goal": "Stay ahead of the curve"
            },
            "🌱 Growing": {
                "status": "CONTINUOUS",
                "areas": [
                    "3D Computer Vision Systems",
                    "Distributed AI Training",
                    "Production ML Systems",
                    "Cloud-Native Architectures"
                ]
            }
        }

    def get_availability(self):
        return {
            "open_to": [
                "🚀 AI/ML Engineer positions",
                "💻 Software Engineering roles",
                "🔬 Research collaborations",
                "🌟 Innovative projects",
                "🤝 Open-source contributions"
            ],
            "specialties": [
                "Point Cloud Processing & 3D Vision",
                "Deep Learning & Neural Networks",
                "Full-Stack Development (MERN)",
                "Salesforce Enterprise Solutions",
                "Production ML Systems"
            ],
            "status": "ACTIVELY LOOKING",
            "contact": "Let's build something legendary! 🚀"
        }

focus = CurrentFocus()
print(focus.get_availability())

📡 ESTABLISH CONNECTION

Choose Your Communication Protocol:

╔════════════════════════════════════════════════════════════════════════════╗
║                                                                            ║
║   💬 STATUS: OPEN TO OPPORTUNITIES                                        ║
║                                                                            ║
║   🎯 SEEKING: AI/ML Engineer | Software Engineer | Research Positions     ║
║                                                                            ║
║   🌟 EXPERTISE: Deep Learning | Point Clouds | Full-Stack | Salesforce    ║
║                                                                            ║
║   🚀 MISSION: Building AI systems that push the boundaries                ║
║                                                                            ║
║   💡 MOTTO: "In a world of code, be the algorithm that optimizes"         ║
║                                                                            ║
╚════════════════════════════════════════════════════════════════════════════╝

🎮 INTERACTIVE STATS

🔥 Click to reveal hidden stats 🔥

🏆 GitHub Trophies

📊 Detailed Language Stats

⏰ Coding Time Distribution

🐍 Contribution Snake


💭 RANDOM WISDOM FROM THE MATRIX


🌟 VISITOR ANALYTICS

Profile Views GitHub Followers GitHub Stars


🎯 THE JOURNEY CONTINUES... 🚀

while(alive) {
    eat();
    sleep();
    code();
    build_AI();
    change_world();
    repeat();
}

💫 "Code is poetry written in logic, and AI is the consciousness we give to machines" 💫


⚡ BUILT WITH PASSION, CAFFEINE, AND NEURAL NETWORKS ⚡

Powered by Coffee Made with Love AI Assisted

╔═══════════════════════════════════════════════════════════════════════════╗
║  "In a universe of infinite possibilities,                               ║
║   I choose to build the impossible."                                     ║
║                                                            - Niken, 2025  ║
╚═══════════════════════════════════════════════════════════════════════════╝

Popular repositories Loading

  1. saytoutu saytoutu Public

    "Do you Feel shy to share your feelings with batchmates/classmates??"Don't worry we made a solution for it!!

    HTML 2

  2. Pokemon-React-Game Pokemon-React-Game Public

    Made a Pokemon Game with React which draws two pair of 4 random Pokemon cards and tells you the winner/loser of that hand

    JavaScript 1

  3. React-Dice React-Dice Public

    JavaScript 1

  4. Everthing-Real-Estate Everthing-Real-Estate Public

    A Solution to Peer-to-Peer Buying-Selling of Real-Estate Properties using MERN Stack

    JavaScript 1

  5. Placement_Portal_SDP_v_e Placement_Portal_SDP_v_e Public

    JavaScript 1

  6. Hertz Hertz Public

    Hertz is a dynamic music and podcast platform, enabling users to curate tracks, explore expert-crafted playlists, and provide creators a platform for broadcasting. Underpinning its efficiency is a …

    1