Bijay Krishna Das — CEO

I’m a Staff-level Software Engineer and emerging AI Engineer with over a decade of experience designing, building, and scaling complex systems across diverse domains—including healthcare, finance, energy, semiconductors, and transportation. With a strong foundation in backend engineering and cloud architecture, I specialise in leading the delivery of high-impact, production-grade software and AI solutions. In my current role, I’ve actively expanded into the AI space, independently designing and launching a Retrieval-Augmented Generation (RAG) chatbot that serves over 150 million users monthly. From concept to production, I implemented the full pipeline—including vector databases, Azure OpenAI integration, custom APIs, and a modern front-end—demonstrating end-to-end ownership, innovation, and scalability at a Staff level. 🔧 Core Competencies & Technical Strengths • Software Engineering & Architecture: Expert in backend systems (Java, Python, Node.js), micro-services, and distributed system design. Skilled at creating clean, modular, and scalable codebases. • Frontend Development: Strong grasp of building Single Page Applications (SPAs) with responsive, user-focused UIs using modern JavaScript frameworks. • DevOps & Site Reliability: Hands-on with Docker, Kubernetes, CI/CD pipelines (GitLab CI, Bamboo), and infrastructure automation to ensure stability, resilience, and fast iteration. • Cloud & Platform Engineering: Deep experience with AWS and Azure, architecting cloud-native applications with high availability, cost optimization, and scalability. • AI & Machine Learning Engineering: Building real-world applications using LLMs, LangChain, vector databases, prompt engineering, and Python ML stacks. Practical experience deploying AI workloads in production environments. • Data Engineering & Analytics: Proficient in data modelling, ETL, large-scale data processing, and leveraging insights for intelligent system behaviour. 🚀 Leadership & Impact • Cross-Functional Leadership: Acted as a technical lead across multiple initiatives, aligning software delivery with product vision while mentoring engineers on architecture, design, and coding standards. • Technical Vision & Strategy: Influenced system-wide architecture decisions, introducing reusable patterns, optimising build/release workflows, and reducing technical debt. • Startup Mindset at Scale: I thrive in fast-paced environments and take full ownership of problems—from design to deployment—bridging the gap between deep technical execution and strategic business value.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with strong AI and cloud architecture expertise.

Location: Bengaluru, Karnataka, India

Experience: 11 yrs 11 mos