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🚀 AI/ML Engineer | 🔬 Research Enthusiast | 💡 Building AI-driven solutions | ⚡ MLOps & NLP Innovator | 🎯 Turning Ideas into Scalable AI Products
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Dailoqa
MLops
June 13, 2026 – Present
Food_recommendation
January 3, 2025 – January 3, 2025
Harnessing cutting-edge TF-IDF and cosine similarity, this intelligent platform delivers hyper-personalized culinary matches. Meticulously crafted filters adapt to dietary needs and preferences, while lightning-fast computations ensure seamless exploration of global flavors. A visionary blend of NLP precision and user-centric design
View ProjectMLOps
December 21, 2024 – December 25, 2024
Cutting Edge Visa Prediction Pipeline using Random Forest and classification based model. Ability for full CI/CD workflow with automated code checking for any leaks. Suitable template for staring new project
View Projectai-backend
October 20, 2024 – December 25, 2024
Memopin is an AI-powered memory recall tool that uses advanced technologies like RAG, NLP, and LLMs to store, analyze, and retrieve key life moments, providing an organized, context-aware platform for enhanced memory management and cognitive support.
View ProjectPaddy
August 10, 2024 – April 6, 2025
Precision-engineered ensemble models achieve 95.4% cultivable land accuracy and 92.7% disease diagnosis, slashing resource waste by 37% through neural yield forecasting. End-to-End Crop Mastery: From pixel-perfect field analysis to harvest predictions within 8.2% error, this system redefines sustainable rice farming with surgical risk mitigation
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on personal projects, indicating self-motivation and a passion for learning and applying new technologies. The diversity of ML-related projects (agriculture, image processing, recommendation, PII masking, GenAI) suggests a broad interest within the ML domain. However, the lack of team-based projects or contributions to open-source initiatives makes it difficult to fully assess cultural fit in a collaborative professional environment. The current role as 'MLops' at Dailoqa aligns directly with the target role, suggesting a clear career path.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate an ability to articulate technical achievements, but there are no direct assessments of collaboration, problem-solving under pressure, or communication in a team setting.