Full Stack Engineer | AI/ML Developer Building production-grade full-stack applications and AI-powered systems from Karlskrona, Sweden. Currently leading end-to-end development at AiLand Media, architecting scalable multi-tenant platforms with real-time analytics and LLM-powered features.

Key Experience: Product ownership, system architecture, technical strategy, sprint-based workflowsCore Competencies: Full-stack development, AI integration, OAuth 2.0/JWT security, cloud deployment, CI/CD
Specializations: Scalable backend services, real-time analytics, LLM-powered features, microservices architecture, production-ready architecture

Jul 2025 - Present | Stockholm, Sweden (Remote)

• Led end-to-end design and development of multi-tenant AI-powered social media management platform
• Architecting scalable systems with Next.js, Node.js, PostgreSQL, Prisma, and Redis for production readiness- Implemented OAuth 2.0 authentication, AI content generation, scheduling systems, and analytics dashboards
• Built brand strategy tooling and integrated modern AI APIs for content optimization
• Focus on reliability, modularity, and scalability with modern deployment practices

May 2025 - Sep 2025 | Stockholm, Sweden (Remote)

• Built core features using Next.js and Node.js for web application platform- Implemented application workflows, screening systems, milestone tracking, and AI-assisted proposal tools
• Improved UI consistency and backend API reliability in collaboration with product and design teams
• Integrated ChatGPT and Grammarly APIs for proposal automation

Mar 2025 - May 2025 | Stockholm, Sweden (Remote)

• Developed AI-driven NPC behavior systems in Unreal Engine 5 using Blueprints and C++
• Implemented navigation, state machines, animation systems, and performance optimizations
• Collaborated in sprint-based workflows and participated in QA and playtesting
• Impact: 45% improvement in enemy movement accuracy

Oct 2023 - Jun 2024 | Visakhapatnam, India (Hybrid)

• Developed full-stack web applications using AngularJS and Python supporting 2,000+ concurrent users
• Built responsive interfaces, integrated APIs, and automated internal workflows in Agile teams
• Impact: 30% reduction in manual data processing

May 2023 - Jun 2023 | Chennai, India (Remote)

• Built predictive models using Python and Scikit-learn
• Performed exploratory data analysis, feature engineering, and automated data processing pipelines

Mar 2023 - Apr 2023 | New Delhi, India (Remote)

• Developed modular Java applications demonstrating OOP principles
• Implemented secure login and transaction handling with unit testing and documentation

Bachelor Thesis @ Blekinge Institute of Technology

Emotion-aware dialogue system for 2D games using local LLMs (Mistral 7B), RoBERTa sentiment analysis (92% accuracy), and PostgreSQL memory engine. Enables dynamic, context-aware NPC conversations adapting to player sentiment and history.

Tech: Python, FastAPI, PostgreSQL, llama-cpp-python, RoBERTa, Vanilla JS
Highlights: Local LLM integration, real-time sentiment analysis, persistent memory system

Multi-tenant platform with Next.js 16, React 19, TypeScript, Node.js/Express, and PostgreSQL/Prisma. Integrated Meta/Instagram/LinkedIn APIs with OAuth 2.0 and built GPT-3.5 RAG pipeline for automated insights.

Tech: Next.js, React, TypeScript, Node.js, PostgreSQL, OpenAI GPT-3.5, Docker, CI/CD
Focus: Scalable architecture, reliability, real-time data processing, production deployment

React Native app for trainers with Firebase Authentication, Firestore real-time sync, and GPS-validated attendance. Features role-based access control and progress analytics.

Tech: React Native, JavaScript, Firebase (Auth & Firestore), Expo-Location API, Figma

Unity game jam entry featuring weapon mechanics, combat systems, and polished UI. Implemented movement, animation, and gameplay management logic.

Tech: C#, Unity, Rigidbody Physics, Git
Play Demo → | GitHub →

Ensemble ML model (Logistic Regression, Decision Tree, CatBoost, LightGBM) achieving 80% accuracy on e-commerce churn prediction with k-fold cross-validation.

Tech: Python, Pandas, Scikit-learn, CatBoost, LightGBM, Matplotlib, Seaborn
Results: 80% accuracy (vs. 66% Decision Tree, 50% Logistic Regression)

Serverless image processing pipeline with S3 event triggers, automated conversion, IAM security, and CloudWatch monitoring. Processes 1,000+ images/hour with 99.9% success rate.

Tech: AWS Lambda, S3, Python, Pillow, CloudWatch, IAM

Comprehensive security assessment of LLM applications using STRIDE, CVSS 3.1, OWASP Top 10 for LLMs, and MITRE ATLAS frameworks with mitigation strategies.

Tech: Microsoft Threat Modeling Tool, OWASP Threat Dragon, Security Analysis

Bachelor of Technology (BTech) – Computer Science
Jawaharlal Nehru Technological University, Kakinada | Dec 2021 - Dec 2025

Bachelor's Degree – Computer Science
Blekinge Institute of Technology, Sweden | Sep 2024 - Sep 2025

🔭 Building AI-powered analytics platforms and LLM-based interactive systems
🌱 Exploring advanced RAG optimization and scalable microservices architecture
💼 Open to Full-Stack Engineer, Backend Engineer, AI/ML Engineer roles in Sweden/EU📫 Reach me: jv5102003@gmail.com

💡 Open to collaboration on scalable full-stack applications, AI-powered systems, cloud infrastructure, and technical leadership opportunities. Let's build something impactful together!