Determined Backend & Devops Engineer, MS in Software Engineering, BE in Computer Science.

Software Engineer specializing in enterprise-scale systems architecture, AI solution implementation, and cloud-native application development with a track record of delivering high-impact technical solutions.

🌱 Currently Diving Deep Into:

• Generative AI frameworks and prompt engineering
• Large Language Models (LLMs) fine-tuning and deployment
• Data Engineering pipelines for AI/ML workflows
• Scalable Machine Learning infrastructure and MLOps

👀 What Excites Me:

• Implementing AI/ML solutions for tangible business challenges
• Designing resilient distributed systems and microservices
• Optimizing DevOps practices for continuous delivery excellence
• Developing performance-optimized applications with measurable impact

💡 Looking to Collaborate On:

• Enterprise-grade DevOps/MLOps implementations
• Cloud-native architectures leveraging containerization and orchestration
• Innovative applications of Deep Learning in production environments
• Data Science and Data Engineering solutions that deliver business value

EX-ACCENTURE, Software Engineering Developer 2, Associate Software Engineer (01/2021 - 07/2023)

• Led the development of a mission-critical payment processing system utilizing Java Spring Boot, reducing transaction processing time by 35%
• Architected and implemented CI/CD pipelines using Jenkins, Docker, and Kubernetes, improving deployment frequency by 60%
• Engineered microservices architecture for a financial services client that enhanced system scalability and reduced infrastructure costs by 28%
• Spearheaded the adoption of test-driven development practices, resulting in a 40% reduction in production defects

📚 Graduate Studies @ Northeastern University (09/2023 - 04/2025)

• CSYE7380 - Theory & Practical Application in Generative AI Modeling

  • Developed and fine-tuned transformer-based models for domain-specific(Finance) applications

• DAMG7374 - Gen AI with Applications in Data Engineering

  • Implemented end-to-end data pipelines for training and serving generative models

• CSYE7374 - Design Patterns in Java

  • Created enterprise applications leveraging architectural design patterns for optimized performance

• CSYE6225 - Network Structures and Cloud Computing

  • Designed and deployed fault-tolerant infrastructure on GCP using Infrastructure as Code

• INFO7255 - Advanced Big Data Indexing & Tools

  • Engineered search solutions utilizing Elasticsearch and graph databases for complex data structures

• INFO6105 - Data Science Engineering Methods and Tools

  • Applied statistical learning techniques to solve real-world prediction problems

• INFO6205 - Program Structures & Algorithms

  • Implemented optimized algorithms for computational efficiency in resource-constrained environments

• CSYE6200 - Object Oriented Design In Java

  • Developed modular and extensible applications following SOLID principles

💻 Programming Languages: Java, Python, SQL, TypeScript, Go, VbScript, C#

🔧 Technologies & Frameworks: Spring Boot, Flask, FastAPI, Go-Fiber/Gin, React, TensorFlow, PyTorch, Apache Spark, Kafka, Snowflake, MLFlow, Databricks

☁️ Cloud & DevOps: AWS, Azure, Docker, Kubernetes, Terraform, Jenkins, GitHub Actions, CircleCI, GitOps

🛠️ Data & Analytics: PostgreSQL, MongoDB, Elasticsearch, Hadoop, Airflow, Tableau, PowerBI

📫 Professional Contact:

• Email: [email protected]
• LinkedIn: raomanish9538
• GitHub: ManishRao

😄 Pronouns: He/Him

⚡ Fun Facts:

• Contribute to open-source ML model optimization frameworks in my spare time
• Mentor aspiring software engineers with a focus on underrepresented groups in tech
• Beyond coding, I develop AI-driven agentic strategies and solve complex puzzles—constantly exploring how AI can reshape the future of entertainment and human-computer interaction.
• Play Football & Cricket, Like to watch Movies/TV Series/Anime.