Suprovo Mallick
AI/ML Developer • GenAI Enthusiast • Problem Solver
GenAI Developer | RAG SpecialistAbout Me
The Vision
I'm a passionate AI/ML developer from India, currently pursuing Computer Science at KIIT. My journey in AI began with a deep curiosity about how machines can understand and generate human language, evolving into a mission to build intelligent applications that solve real-world problems.
I specialize in leveraging cutting-edge technologies like LangChain, Gemini API, and Retrieval-Augmented Generation (RAG) architectures to create dynamic and responsive solutions. My experience includes designing personalized chatbots, developing intelligent recommendation systems like Aahar AI, and building multilingual translation applications.
Timeline
Experience
- Built and deployed modular FastAPI backends with session memory and RAG pipelines.
- Improved response retrieval speed by 30% via embedding optimization.
- Developed AI-powered wellness system as part of student startup initiative.
Technical Toolkit
Featured Projects
Credentials
Resume Highlights
As a driven AI/ML Developer, I bring a strong foundation in machine learning, deep learning, and generative AI. My expertise spans building intelligent applications, optimizing models, and implementing RAG and Agentic AI architectures.
- Deployed RAG-based AI assistants and Agentic workflows.
- Built disease detection systems (EfficientNetV2) and NMT systems (NLLB-200).
- Proficient in Python, TensorFlow, PyTorch, and vector databases.
- Experienced in cloud platforms, AWS Bedrock, and containerization (Docker).
Certifications
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IBM RAG and Agentic AI ProfessionalIBM via Coursera • 2026Credential
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AWS Generative AI ApplicationsAmazon Web Services • 2026Credential
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Supervised ML: Regression & ClassificationDeepLearning.AI • 2024
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Career Essentials in Generative AIMicrosoft + LinkedIn • 2024
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Google AI EssentialsGoogle • 2024
Publications
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Raahi – Real-Time Public Transport Tracking SystemConference Paper, Proceedings of 15th Project Innovation Contest (PIC-2026), Satellite Event of ICDCIT-2026, KIIT• Designed distributed real-time tracking architecture optimized for low-network environments.
• Selected among top 40 out of 160 submissions after peer review.
