Saibal Das

About Saibal Das

Software engineer/architect with over twenty years of experience in analysis, design, and coding. Extensive hands on experience in architecture, development, testing, and integration. Team building and mentoring. Innovating for in-house legacy product and green-field projects. Hands-on with Cloud (AWS, Azure and GCP) Technologies, TelePhony, Machine Learning and Artificial IntelligencePrimary Skills: Machine Learning technologies such as Natural Language Processing (NLP) & Natural Language Understanding (NLU), Large Language Model (LLM), Agentic AI Framework (LangChain, AutoGen, Semantic Kernel), Transformers, PySpark, Jupyter Notebook, Convolutional (CNN) and Recurrent Neural Nets (RNN), Deep Learning Framework - PyTorch, Keras, scikit-learn, Retrieval Augmented Generation (RAG) MLOps/ML Engineering: Working knowledge of AutoML, MLflow, Azure Machine Learning, Amazon Web Services (AWS) Cloud Native Microservices development involving AWS Serverless Application Model (SAM), AWS Lambda, ECS Fargate, EKS (Elastic Kubernetes Service), CDK, Cloudformation, AWS Security, API Gateway Azure application development involving Azure IoT, Azure Kubernetes Service (AKS), Docker, Azure Container Registry (ACR), Azure Resource Manager (ARM), Application Insights, Azure DevOps, Azure SQL, Azure Serverless Functions, OpenID Connect, OAuth2, Google Cloud Platform (GCP) application development involving Google Vertex AI, Continuous Integration-Continuous Delivery (CI/CD involving GitLab, Jenkins, Azure DevOps, Terraform, Development experience in Microsoft technologies involving C++, C#.NET, Win32 API, Visual Studio, React, Multi-threading, IIS, SQL Server, WCF, TFS, TPL, ASP.NET Web Forms, ASP.NET MVC, ASP.NET Core, Web API Security, REST API, EF, LINQ, JavaScript, jQuery, COM, MFC, Windows Debug Diagnostic, Event-Driven Architecture app development experience using RabbitMQ, MassTransit, Keda, Domain experience in Call Center PBX CTI and Contact Center integration using Avaya, Cisco, ShoreTel, Mitel, Microsoft Lync SIP SDK, Git, Atlassian Tools (Bitbucket, Jira, Confluence), Docker, Containers, KubernetesSecondary Skills: Agentic AI : Working knowledge of LangChain, AutoGen, Copilot app development Conversational AI: Working knowledge of Rasa Big Data: Working knowledge of Spark, Databricks, Kafka, Azure Data Engineering, Languages: Python (Intermediate), Go (Intermediate), Scala (Beginner), Rust (Beginner), Web frameworks: Working knowledge of Node,js, Django, Flask, Fastapi, Gin,

Experience

1. Lead Software Engineer

   OpenText

   Apr 2021 — Present · Dallas, TX, US

   OpenText Contact Center Analytics - Qfiniti & ExplorePrimary responsibilities: o Lead Software Developer of Contact Center Analytics (CCA) aka Explore. OpenText Explore is post-call analytics for call-center interactions such as recording, chats, emails using transcriptions (Nuance Transcription Engine), Solr.NET, C#, PowerShell. OpenText Magellan Text Mining Engine provides call transcriptions and Solr search capability. o Involved in activities such Long-term planning and providing/building proof-of-concept using technologies such as Machine Learning, Agentic AI, LLM, NLP & NLU impacting the product domain and providing feedback to Product Management Mid-term planning working on product Road-map items such as Cloud Migration, Modernization and Scaling and building Scrum Backlog Day-to-day activities such as Customer interaction, development, Team mentoring, Team building and interacting with other product line within OpenText o Projects: Working on AWS Cloud migration of OpenText Qfiniti and Explore. AWS VM, Terraform, New Relic, OpenTelemetry (Prometheus, Grafana) Working on Modernization and Scaling of Background processes using Docker, Kubernetes, RabbitMQ, MassTransit o Involved in Innovation Projects : Machine Learning proof-of-concept using LLM (Large Language Model), Huggingface Transformers, Python, FastAPI, MLFlow, Jupyter Notebook, Agentic RAG (Retrieval Augmented Generation) using LangChain, AutoGen, Semantic Kernel, Vector Database (Cohere, Pinecone) Machine Learning modeling using Keras and PyTorch and use of AutoML with MLflow and Airflow REST API in Go/GoLang: Developed PoC project for REST API in Go/GoLang Investigating different aspects of Machine Learning System Design such as Agentic AI Framework, Feature Engineering, AI-powered Search, Knowledge Graph Small Language Model (SLM) Fine-tuning and Synthetic Data Generation

Education

• Indian Institute of Technology, Kanpur

  Master of Technology

  1992 — 1994

• Indian Institute of Technology, Kanpur

  Bachelor of Technology

  1988 — 1992

Skills

• Software Development
• Agile Methodologies
• Software Project Management
• Telecommunications
• Internet Protocol Suite (Tcp/Ip)
• Cloud Computing
• Web Services
• Software Development Life Cycle (Sdlc)