AI Engineer with hands-on experience designing and shipping real-time, production-ready AI systems using multimodal data, large models, scalable backends, and containerized deployments.
TherapyU
Jan 2025 - Feb 2025 · BIRAC, Adamas University, West Bengal
Developed production-ready AI/ML algorithms for a web application; collaborated with UI/UX and development teams; conducted data analysis, preprocessing, and model optimization; prototyped AI solutions and prepared technical documentation. Technologies included Python, machine learning, AI integration, data analysis, and web application development.
Proption Fintech Private Limited
Built internal company tools using Go; designed financial algorithms including the Supertrend indicator for NIFTY; contributed to backend and frontend features; optimized system performance; and supported data collection, preprocessing, and analysis.
BaseApp
Developed a real-time voice-to-voice AI system with sub-second latency; built a Speech-to-Text, LLM, and Text-to-Speech pipeline; implemented a WebSocket streaming API; designed an asynchronous Redis-backed and Dockerized backend; and improved production readiness through authentication, DoS protection, memory optimization, and GPU acceleration.
Bachelor, Computer Science and Engineering
GPA: 8
Implemented transformer-based architectures from “Attention Is All You Need” for text summarization and ResNet models from “Deep Residual Learning for Image Recognition” for image classification. Evaluated models on benchmark datasets, achieving a 10% uplift in summarization ROUGE scores and a 7% gain in image recognition accuracy. Duration: Jul 2023 - Present. Freelance/Academic.
Prototyping a privacy-preserving federated learning system using TensorFlow and PyTorch, with CI/CD pipelines for distributed model updates. The goal is a scalable platform for multimodal sensor and user data that maintains more than 90% of centralized model accuracy. Duration: Jul 2023 - Present. Freelance/Academic.
Developed a compact approximately 0.21M-parameter Transformer for character-level language modeling and text generation. Duration: Jul 2024.
Built a deep learning system integrating multi-spectral imagery, temporal sensor data, and environmental context. Used ResNet-style CNNs, LSTMs, cross-modal attention, uncertainty estimation, Focal Loss, AdamW, and Cosine Annealing.
Developed a computational framework for patient-specific cancer progression simulation using clinical, genomic, and imaging data. Implemented risk assessment, treatment simulation, Markov processes, survival analysis, and a FastAPI backend.
Created a Python library and one-command CLI that Dockerizes single-model machine learning applications by generating optimized Docker configurations and API scaffolding. Duration: Jun 2024 - Aug 2024.
Developed a plug-and-play memory layer for AI agents to mitigate catastrophic forgetting using compressed memory embeddings, automatic task boundary detection, LLM sidecar memory injection, and a real-time monitoring dashboard.