Prakash D

Software Engineer

3+ years of experience in backend development, cloud engineering, and AI-driven solutions. Specialized in building scalable microservices, event-driven architectures, and intelligent workflow orchestration.

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Years Experience

Certifications

25+

Projects

Core Technologies

Go (Golang)

Backend Services

Generative AI & LLMs

Workflow Automation

Python & FastAPI

API Development

gRPC & Microservices

Distributed Systems

Currently Working On AI Automation

About

Innovative and results-driven Software Engineer with 3+ years of experience in backend development, cloud engineering, and AI-driven solutions. Proficient in Python, Go, Java, Typescript, and Javascript, with extensive expertise in frameworks like FastAPI, NestJS, SpringBoot, and tools such as Redis, Kafka, Kubernetes, MlFlow, Terraform, and Docker.

Skilled in designing scalable microservices, event-driven architectures, and cost-optimized ETL pipelines, while leveraging AI and LLMs for automation and intelligent workflow orchestration. Certified in GenAI, AWS, Kubernetes, Terraform, and Azure, with a strong problem-solving mindset demonstrated via LeetCode and an active technology blog on Medium.

Passionate about leveraging technology to streamline processes, enhance system reliability, and drive innovation in cloud and AI ecosystems.

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Backend Development

FastAPI, NestJS, SpringBoot

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Cloud Engineering

AWS, Azure, Kubernetes

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AI & Automation

LLMs, MLFlow, GenAI

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Performance & Scale

Redis, Kafka, Terraform

Technical Skills

Programming Languages

Python Java TypeScript Go LangChain

Python Libraries: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow

ML & Experimentation

MLflow Hugging Face Transformers OpenAI APIs PyTorch TensorFlow Scikit-learn

MLOps & Orchestration

Docker Kubernetes Kubeflow MLflow Git CI/CD Pipelines Terraform

Search & Data Technologies

Azure Cognitive Search Neo4j Graph-based Modeling Apache Kafka Redis ETL Pipelines

Document Processing & Visualization

PDF Parsing Document Understanding Data Visualization OpenAI API Integration

Cloud Platforms

AWS Azure Google Cloud Oracle Cloud

Experience

Software Engineer — Transnoesis (KYG Trade)

Oct 2023 - Present

AI-Grounded Assistant & No-Code Workflow Orchestration

Initiated and developed a conversational AI assistant that guides users through creating and linking executable workflow components using natural language, automatically configuring and chaining steps, cutting manual setup effort by 70%.

No-Code Workflow Orchestration

Built a fully UI-driven Business Logic Orchestrator that allows users to visually design, configure, and run end-to-end workflows without writing any code, reducing solution development and deployment time by up to 80-90%.

Microservices Architecture & gRPC Communication

Contributed to the development and integration of 4+ microservices, implementing gRPC-based APIs for efficient, low-latency communication, improving system interoperability and performance.

Decision Tree Engine & Document AI

Engineered a custom compiler-powered decision tree module with dynamic questioning and developed document understanding & visualization using AI to extract structured data from PDF bills with OpenAI and Python.

Advanced Search & Performance Optimization

Developed search engine using Azure Cognitive Search and optimized SQL queries with indexing, reducing REST API response times by 50ms. Implemented Redis for efficient data caching and WebSocket management.

Kubernetes & Microservices Architecture

Managed Azure Kubernetes Service deployments and optimized Dockerized microservices using multi-layered build Dockerfiles, reducing resource consumption by 10%. Designed event-driven microservices architecture achieving near-zero data loss.

Cost-Optimized ETL & Data Processing

Developed ETL pipelines using Python Prefect, replacing Azure Data Factory workflows and reducing cloud costs by 70% while maintaining scalability and reliability.

Cloud Engineer — Presidio

July 2022 - Sept 2023

Performance Optimization & Serverless Development

Optimized data processing workflow with multithreading using Python, reducing dataset processing time from 30 minutes to 7 minutes. Engineered scalable REST APIs with AWS Lambda and Serverless framework in TypeScript.

AWS Security & Authentication

Implemented secure user authentication via AWS Cognito and integrated AWS Pinpoint for real-time notifications. Collaborated on AWS Serverless projects including AI-Assisted Employee Upskill Program.