Gnana Praneeth Neriyanuri

Software Engineer | AI/ML Developer

Hyderabad, IN.

About

Highly motivated and results-driven Software Engineer with a strong foundation in AI/ML, data analysis, and full-stack development. Proven ability to design, develop, and deploy innovative solutions, including AI-driven content creation platforms, medical chatbots, and backend systems. Adept at leveraging advanced tools and frameworks to optimize processes, enhance performance, and deliver significant business value. Seeking to apply technical expertise and leadership skills in challenging software development and AI roles.

Work

Electronic Arts

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Software Development Intern

Summary

Spearheading the development of an automated email generation service within EA's Unified Messaging platform, significantly streamlining in-game manager communications through advanced AI-driven content creation.

Highlights

Engineered and automated the Unified Messaging Email Service, integrating FastAPI and gRPC to establish seamless communication between UI and backend microservices for efficient email generation and delivery.

Developed an interactive, Angular-based email editor, empowering managers to dynamically input prompts, preview AI-generated HTML emails in real-time, and perform on-the-fly grammar and syntactic corrections, enhancing content quality and efficiency.

Designed and implemented a CrewAI-powered agentic workflow, creating custom agents and task pipelines to automate the processing of user prompts, generation of structured email content, and conversion to formatted HTML, ensuring robust backend execution and seamless frontend integration.

UST Global

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Software Development Intern

Summary

Automated critical financial reporting and identified substantial cost-saving opportunities by analyzing financial data and visualizing key performance trends.

Highlights

Automated the generation of monthly Profit and Loss (PL) reports, performing comprehensive financial data analysis and visualizing key performance trends to deliver accurate and timely insights.

Identified and realized significant cost savings opportunities across non-core business expenditures, including domestic travel and broadband, achieving an estimated annual benefit of Rs. 5 lakh (approximately $6,000 USD).

Education

Narayana Junior College, SR Nagar

Class XII General Studies Grade: 98.4%

BITS Pilani, Hyderabad Campus

B.E. (Hons.) Computer Science with Minor in Data Science Grade: CGPA: 7.57

Courses

Natural Language Processing (NLP)

Data Structures and Algorithms (DSA)

Object-Oriented Programming Systems (OOPS)

Database Systems

Artificial Intelligence (AI)

Machine Learning (ML)

Applied Statistical Methods

Awards

Overall Head, CoSSAcn Dept.

BITS Hyderabad

Spearheaded the CoSSAcn Department, managing a budget of INR 10 Lakh (approx. $12,000 USD) and leading a team of 30+ members to successfully plan and execute professional events at the institute level.

National Finalist, Data Science Hackathon

IIT Kharagpur

Achieved National Finalist status (Top 20 out of 3000+ teams) at the IIT Kharagpur Data Science Hackathon by developing innovative machine learning-based cryptocurrency trading strategies.

Languages

English

Fluent

Hindi

Conversational

Telugu

Native

Skills

Programming Languages

Python, Java, C++, C, SQL, TypeScript.

Frameworks & Tools

Spring Boot, FastAPI, CrewAI, gRPC, Git, Kafka, Postman, jUnit.

Machine Learning & Data Science Libraries

pandas, NumPy, scikit-learn, TensorFlow, LoRa, Optuna, Langchain, Pinecone, PEFT.

AI/ML Concepts

Natural Language Processing (NLP), Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, Hyperparameter Tuning, Quantized Training, Retrieval-Augmented Generation (RAG), One-shot Prompting, Zero-shot Prompting.

Software Development

Data Structures and Algorithms (DSA), Object-Oriented Programming Systems (OOPS), Database Systems, API Development, Backend Development, Frontend Integration, Microservices.

Projects

AI-Powered Medical Chatbot

Summary

Developed an innovative medical chatbot capable of diagnosing diseases based on user-provided symptoms and suggesting appropriate treatments.

QuickEmart Backend

Summary

Engineered the robust backend infrastructure for QuickEmart, focusing on secure user management and efficient API services.