Soumyajit Datta

Co-Founder

Kolkata, West Bengal, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and Machine Learning solutions.
Proven experience in building scalable AI applications.
Innovative projects merging IoT, robotics, and AI.

Stackforce AI infers this person is a Backend-heavy Fullstack AI Engineer with a focus on Healthcare and AI solutions.

Contact

Skills

Core Skills

Deep LearningMedical Image AnalysisSpeech ProcessingRetrieval-augmented GenerationBackend Development

Other Skills

AIAmazon EC2Analytical SkillsArduinoArtificial Intelligence (AI)CNNCascading Style Sheets (CSS)ChromaChromaDBCloud ComputingCommunicationComputer VisionDebuggingESP32 MicrocontrollersEnglish

About

I am an AI Engineering student passionate about harnessing Generative AI, Machine Learning, and Deep Learning to develop cutting-edge solutions. With hands-on experience in LangChain, TensorFlow, and scikit-learn, I specialize in building efficient ML and LLM pipelines to tackle complex real-world problems. I have developed Generative AI solutions and worked extensively in speech and language processing. My expertise spans backend development with Flask, FastAPI, and databases like MongoDB and SQL to create scalable web frameworks that integrate advanced ML systems. I also have cloud experience with AWS and Microsoft Azure (certified) and frontend proficiency in ReactJS. Beyond software, I enjoy merging IoT and robotics with AI, having built smart wearables like an ASL-to-speech glove using ESP32, sensors, and ML models. Passionate about innovation and Human-Computer Interaction (HCI), I prioritize accessibility and real-world impact in my work. Let’s connect to explore AI innovations and collaborate on transformative projects!

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Indian institute of technology, kharagpur

Research Intern

Jun 2025 – Jul 2025 · 1 mo · India · Remote

◦ Designed and implemented custom CNN and U-Net architectures for automated segmentation of
diabetic foot ulcers, enabling precise wound boundary detection and classification.
◦ Medical Image Analysis: Built a research-grade interface integrating HSV-based depth visualization to assess ulcer severity, improving clinical interpretability and decision-making support.

Deep LearningMedical Image AnalysisCNNU-Net

Coforge

AI Intern

Jan 2025 – Apr 2025 · 3 mos · India · Remote

Engineered an AI-driven real-time speech processing system with transcription, translation, diarization, and emotion analysis, integrating LLMs for contextual feature extraction and audio insights.
Optimized deep learning models for image processing, enhancing object detection and classification through advanced preprocessing, training, and visualization.
Developed dynamic React interfaces for AI applications, enabling real-time data processing, seamless backend integration, and enhanced user interaction.

Speech ProcessingDeep LearningReactAI

Cywreck

Founding AI Engineer

Jan 2024 – Aug 2024 · 7 mos · Singapore · Remote

Led the creation of a Retrieval-Augmented Generation (RAG) system with ChromaDB, achieving 95.4% accuracy in detecting GitHub repository vulnerabilities, identifying code snippets, and recommending solutions using few-shot prompting.
Built a Flask and MongoDB-based backend framework for seamless integration between LLMs and frontend chat interfaces.
Tested and finetuned open source models like Llama 3 and Gemma for improved efficiency and accuracy.
Showcased the tool's capabilities and features to venture capitalists

Retrieval-Augmented GenerationFlaskMongoDBChromaDBBackend Development