Build usable GenAI features, automation tools, copilots, and prototype-to-product workflows.
Generative AI Analyst @ iMerit
Debmalya Sanyal
Generative AI Engineer | AI/ML Engineer | Python Backend Developer
I build practical AI products across LLM workflows, intelligent automation, computer vision, RAG systems, and backend APIs, turning research ideas into recruiter-ready, production-minded solutions.
- 30%
- workflow efficiency lift from LLM tools
- 25%
- latency reduction in inference pipelines
- 1st
- author Springer Nature publication
Profile
AI engineer with product instincts and research depth.
I am a Generative AI and Machine Learning engineer from West Bengal, India, currently working at iMerit and pursuing Programming & Data Science at IIT Madras. My work spans LLM applications, model evaluation, prompt engineering, RAG, vector databases, computer vision, and AI deployment workflows.
Recruiters will usually find me strongest where AI engineering meets usable software: Flask, Django, Streamlit, REST APIs, Firebase, OpenCV, TensorFlow, PyTorch, LangChain, and automation systems that move from prototype to practical workflows.
Recruiter Snapshot
Where I can create value quickly.
Connect ML models with Flask, Django, FastAPI, Streamlit, Firebase, and production-style APIs.
Bring research discipline into real systems, backed by a first-author Springer Nature publication.
Core Stack
Skills aligned to modern AI roles.
Generative AI
LLMs, RAG, LangChain, AI agents, prompt engineering, model evaluation, vector databases.
Machine Learning
TensorFlow, PyTorch, Scikit-learn, NLP, deep learning, computer vision, model pipelines.
Backend & Apps
Python, Flask, Django, FastAPI, Streamlit, REST APIs, Firebase, MySQL, Git, deployment workflows.
Data & Delivery
Pandas, NumPy, Matplotlib, automation, data annotation workflows, MLOps foundations.
Experience
Recent AI engineering work.
Generative AI Analyst, iMerit Technology
Working on enterprise-scale generative AI workflows, AI model evaluation, data annotation, prompt engineering, and intelligent automation pipelines.
Generative AI Engineer, Wavelaps
Built LLM-powered text and image generation tools, improved workflow efficiency by 30%, and optimized inference pipelines to reduce latency by 25%.
Artificial Intelligence Intern, Infosys Springboard
Built toward a multi-model AI agent for automated health diagnostics, integrating multiple models to improve reliability in decision-support workflows.
AI Researcher, Coding Jr
Developed ML pipelines and Flask APIs for enterprise AI copilot systems, contributing to stronger client engagement and deployment-ready integrations.
Python Developer Intern, VirtuNexa
Improved backend API performance by nearly 20% through optimization and practical Python development work.
Featured Projects
Proof that matches recruiter searches.
LLM + Automation
Enterprise AI Copilot Platform
LLMs, conversational AI, workflow automation, Flask APIs Built for enterprise workflows where speed, reliability, and user adoption matter.Computer Vision
AI-Powered Face Recognition System
FaceNet, MTCNN, OpenCV, real-time recognition pipeline Designed for identity verification and practical real-time recognition scenarios.Detection App
Real-Time Object Detection System
YOLOv3, OpenCV, Streamlit, live detection workflows Packaged detection logic into an interactive app suitable for demos and testing.Identity Systems
Biometric Attendance & Verification
Fingerprint authentication, face recognition, Firebase logging Combined multiple verification signals with cloud-backed attendance records.Applied AI
AI Interview Assessment Platform
Assessment automation, speech processing, AI scoring workflows Focused on automating evaluation while keeping the workflow easy to use.Legal Tech
Multilingual Assistance Platform
NLP, multilingual support, retrieval workflows, user-facing AI Built around accessibility, language support, and retrieval-assisted answers.Research & Education
Academic credibility with hands-on execution.
Springer Nature Publication
First-author research paper published in Discover Artificial Intelligence, Springer Nature.
View DOIIIT Madras
BS in Programming & Data Science, with focus on data science, programming, and applied AI.
JIS University
B.Tech in Computer Science & Engineering, strengthening software engineering fundamentals.
Certifications
OCI Generative AI Professional, OCI AI Foundations Associate, prompt engineering, Claude 101, Claude Code 101.
Contact
Open to AI engineering, GenAI, ML, and Python backend roles.
Best fit: teams building applied AI products, LLM workflows, intelligent automation, computer vision systems, and scalable AI-backed applications.