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AI Engineer with 2+ years in Machine Learning, NLP, and LLM-based applications.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with expertise in Machine Learning, NLP, and LLM-based applications, specializing in AI-driven automation and real-time conversational systems. Experienced in building end-to-end solutions, including voice agents and automated pipelines, using Python and modern frameworks. Skilled in API integration, scalable system design, and delivering efficient, user-focused AI applications.
Daffodil International University (DIU)
Bachelor of Science · Software Engineering
N/A – June 30, 2025
JVAI
Junior AI Engineer
June 1, 2025 – Present
India
Remote Work
Remote Work
April 1, 2024 – June 1, 2025
India
WordPress Blog Automation System Using N8N
June 23, 2026 – Present
Built an end-to-end AI content automation pipeline using n8n, automating topic research, blog generation, validation, and WordPress publishing. Integrated Perplexity AI and Gemini for BOFU topic discovery and SEO-optimized content generation. Implemented similarity detection, improving content uniqueness and quality. Automated publishing via WordPress REST API, reducing manual workload and increasing efficiency.
View ProjectOralScan AI-Based Oral Cancer Detection
June 23, 2026 – Present
Improved cancer detection accuracy through ensemble learning. Enabled accessible AI-powered screening via web deployment. Showcased ability to combine multiple architectures for real-world problems.
View ProjectTableTalk-AI Conversational Restaurant Ordering System
June 23, 2026 – Present
Built a low-latency voice interaction pipeline using Python and LiveKit. Enabled continuous two-way real-time audio streaming between users and AI assistant. Integrated Gemini Multimodal Live API for natural language understanding and conversation handling. Enabled dynamic responses based on real-time menu items, availability, and pricing updates. Improved conversation flow for more natural, human-like restaurant ordering experience.
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse AI applications, from conversational systems to medical imaging and content automation. This breadth of interest suggests adaptability and a willingness to explore different problem domains, which can be a good cultural fit for innovative teams. The personal projects also indicate a proactive and self-driven individual. However, the experience is relatively short, and the target role is AI Engineer, which aligns well with the demonstrated skills and projects.
Soft Skills & Operational Fit
The candidate lists communication, collaboration, problem-solving, ownership, adaptability, and time management as soft skills. These are crucial for an AI Engineer role, especially in a dynamic environment. The project descriptions indicate an ability to work on complex problems and deliver functional solutions, suggesting good problem-solving and ownership. However, without direct assessment, the depth of these skills cannot be fully validated.