Software Engineer & Applied AI Engineer with 3+ years of experience architecting secure enterprise platforms, building scalable cloud infrastructure, and deploying advanced Agentic AI workflows. Proven success in orchestrating decentralized multi-agent networks, developing Model Context Protocol (MCP) servers, and driving robust CI/CD automation.
Strong foundation in distributed systems, microservices, robust REST API integrations, and cloud-native architectures (Kubernetes, Docker, Terraform, AWS/Azure).
// Experience
Applied AI Engineer @ Avaamo Inc
Jan 2026 – Present- Architected Agentic Infrastructure and high-performance MCP (Model Context Protocol) servers, exposing complex REST APIs and enterprise services to AI agents for active execution.
- Developed autonomous workflows using CrewAI, n8n, and UV for multi-agent collaboration frameworks with minimal human intervention.
- Refined high-performance RAG Architectures and secure REST API integrations to ensure agents operate seamlessly across disparate cloud environments.
- Designed and deployed enterprise-grade conversational AI leveraging LLM fine-tuning and advanced prompt engineering.
Software Engineer / Applied NLP @ PwC India
Aug 2023 – Present- Architected robust cloud infrastructure using Kubernetes and Terraform for real-time B2B pricing engines, configuring instrumentation with New Relic, OpenTelemetry, and Grafana to analyze traffic patterns and reduce processing time by 25%.
- Engineered high-throughput automation pipelines using Apache Kafka, applying SRE methodologies to maintain system availability.
- Implemented comprehensive CI/CD Tooling (GitHub Actions) for reliable deployment of Docker containers and automated load generation profiles.
- Developed an internal LLM chatbot (GPT, LlamaIndex) for ARIBA workflows, managing complex data schemas and API endpoints.
BIPOC NLP Scholar Apprentice @ Google Kaggle
Dec 2022 – Apr 2023- Actively contributed to the NLP-profiler open-source package, enhancing Python libraries for grammar and similarity scoring.
- Created and maintained automated deployment pipelines (GitHub Actions, CI/CD), reducing runtime by 8% and ensuring high availability.
// Hugging Face Models
BitanBiswas/mentalBert_finetuned
BitanBiswas/mentalBert_finetuned_nostemm
BitanBiswas/Bert_finetuned
BitanBiswas/depression-detection-bert
BitanBiswas/deepD
BitanBiswas/wav2vec2-base-timit-demo-google-colab
BitanBiswas/mbert-bengali-ner-finetuned-ner
// Independent Projects
Library Management System (LLD)
- Architected a robust Low-Level Design (LLD) for a Library Management System using JWT and OAuth2 for secure tokenisation and authentication.
- Integrated MongoDB for high-performance NoSQL data storage and designed comprehensive RESTful endpoints for efficient resource management.
Master's Thesis: Depression Detection via NLP
- Developed advanced depression detection models from aggressively scraped social data utilizing fine-tuned BERT and GPT architectures.
- Implemented Explainable AI (XAI) techniques to provide human-readable interpretability for model predictions on complex psychiatric text data.
Agentic AI GTM Systems
- Built autonomous Go-To-Market engines leveraging CrewAI for multi-agent reasoning and n8n for orchestrating autonomous workflows.
- Decomposed complex REST API structures and JSON schemas to build AI pipelines that allow agents to interact deeply with core business logic.
// Technical Arsenal
- Languages: Python, Java, JavaScript, TypeScript, Go, SQL
- AI & Orchestration: MCP Servers, Agent-to-Agent Communication, CrewAI, RAG Architectures, LLM Fine-Tuning
- Cloud & DevOps: Docker, Kubernetes Admin, Terraform (IaC), AWS/Azure, CI/CD, SRE Methodologies
- Observability: New Relic, OpenTelemetry, Grafana
- Integrations: Advanced REST APIs, OAuth2, JWT, MongoDB, Kafka, Microservices