Hey everyone, I'm Reddy Prasad
AIML Engineer | Data Scientist | GenAI | Prompt Engineer
I'm Reddy Prasad, an AI/ML Engineer and Consultant passionate about building intelligent systems. With expertise in Generative AI, Data Science, and Deep Learning, I craft innovative solutions that transform complex data into actionable insights. My journey includes impactful roles at leading firms like EY, Girikon, and Sumeru, where I've applied cutting-edge AI across diverse industries including transportation, energy, and IT, driving efficiency and innovation.
My Projects
"Artificial intelligence is the new electricity."
Tools & Frameworks
My Courses
Unlock your potential with in-depth courses on AI and Machine Learning.
Introduction to AI
A comprehensive introduction to the world of Artificial Intelligence, from basic concepts to modern applications.
Learn MoreDeep Learning Specialization
Dive deep into neural networks, convolutional networks, RNNs, and more to build powerful deep learning models.
Learn MoreGenerative AI with LLMs
Explore the exciting field of Generative AI and learn to build applications with Large Language Models.
Learn MoreAdvanced Generative AI
Master the art of creating novel content with advanced Generative AI techniques and models.
Learn MoreMicrosoft Autogen
Build and manage multi-agent conversational applications with Microsoft's powerful Autogen framework.
Learn MoreAgentic AI Systems
Design and develop autonomous AI agents that can reason, plan, and execute complex tasks.
Learn MoreExperience
Senior Data Scientist – Gen AI March 2025 - Present
EY GDS Consulting – AI and DATA
Role and Responsibility:
- Lead the development and integration of Gen AI solutions across enterprise domains.
- Bridge data science, NLP, and LLMs to design scalable models.
- Optimize AI pipelines and implement cutting-edge tools.
- Elevate business decision-making and operational efficiency.
- Collaborate with cross-functional teams to identify business challenges and deliver AI-driven strategies.
- Ensure model fairness, performance, and compliance with trusted AI principles.
Projects:
- DDXGP-GenAI Studio Insurance IIP Release
- Paid Model: Text to Video Model for Incident Reconstruction for Claimant Adjustment
AIML Engineer 2024
Girikon 
Role and Responsibility:
- Developed and deployed LLM-powered applications, focusing on agentic workflows, advanced prompt engineering, evaluations, model feedback and tuning mechanisms, and safety guardrails.
- Engineered end-to-end LLM systems, including scalable data ingestion pipelines, reliable service orchestration, backend application state management, and data layer implementation.
- Analyzed and optimized complex, large-scale technology solutions for tactical and strategic business objectives and technical challenges.
- Provided engineering support for AI-driven solutions that enhance and streamline work processes, ensuring reliable, secure, and scalable applications aligned with business priorities.
- Acted as a thought leader in developing standards and enterprise best practices for engineering complex and large-scale technology solutions.
- Designed, coded, tested, and documented solutions that align with both product-specific and enterprise-wide goals.
- Led the development of frameworks and solutions that provide both vertical support to specific business-aligned products and horizontal capabilities that scale across multiple platforms.
- Collaborated and consulted with key technical experts, senior technology teams, and external industry groups to resolve complex technical issues and achieve goals.
- Led projects, teams, and served as a peer mentor.
- Stayed current on emerging technologies in AI to contribute to the strategy discussion for future capability development.
Projects:
- Girik AUK
- Girik Hire
- GirikSMS
- Girik QA
- LLM Model Name: Baali Voice to Voice and Voice to Text Model and Summarization Model From 1B to 32B parameter Model
AI/ML Consultant 2022
Sumeru Solutions Pvt Ltd 
Role and Responsibility:
Assess business needs, identify opportunities, and develop tailored strategies to leverage AI/ML technologies for improved efficiency, innovation, and competitive advantage.
Projects:
- Boman.AI
- Abhyaasa: Meditation - SriSri
Machine Learning Researcher 2019
ClientoClarify.AI 
Role and Responsibility:
Develop end-to-end machine learning and deep learning applications. Leverage the CRISP-DM methodology to solve complex business problems across various industries.
Projects:
- Face Recognition App
- Analysis SaaS Platform
Technology Enabler 2018
TMTS (BroadNexus) 
Role and Responsibility:
Develop and evaluate machine learning models using the Prajna Framework. Focus on building robust and efficient models across various domains, ensuring they meet the highest performance standards.
Projects:
- Prajna Bot
- Chat Bot Models
Research Assistant 2017
IITBX 
Role and Responsibility:
Contribute to cutting-edge machine learning and AI research projects. Support Ph.D. scholars in conducting experiments and analyzing simulation results. Teach undergraduate courses in machine learning with Python and data science with R. Build data pipelines, develop machine learning models, and create data visualizations for dashboards.
Projects:
- Prediction Of CO2
- CO2 monitor dashboard
Education
Master of Technology 2016
Computer Science - SVCET (JNTU-A)
Leveraged my passion for machine learning by completing an M.Tech in Computer Science (specialization) at Sri Venkateswara College of Engineering Technology (SVCET-Autonomous), Chittoor (JNTU-A)
Bachelor of Technology 2014
Information Technology - SVPCET (JNTU-A)
A specialized field within computer science focused on applying technology to solve business problems at Sri Venkatesa Perumal College of Engineering & Technology(SVPCET-Autonomous), Puttur JNTU-A
Higher Secondary Education 2010
MPC - Rayalaseema Jr College
Higher Secondary Education in MPC (Mathematics, Physics, Chemistry) at Rayalaseema Jr College in Tirupati.
Secondary Education 2008
R.R. High School
Secondary Education at R.R. High School, Bairagipatteda in Tirupati.
My Offerings Service
Machine Learning
Machine learning enables systems to learn from data and make predictions without explicit programming. It has applications in areas like image recognition, natural language processing, and recommendation systems.
Deep Learning
Deep learning is a subset of machine learning that uses neural networks with multiple layers to model complex patterns in large datasets. It excels in tasks such as image and speech recognition, often outperforming traditional algorithms.
LLM & SLM
Large Language Models (LLMs) are advanced AI systems trained on vast amounts of text data to understand and generate human-like language. They excel in tasks like conversation, text generation, and language translation, leveraging deep learning techniques.
Data Analysis
Data analysis involves inspecting, cleaning, and interpreting data to extract meaningful insights and inform decision-making. It employs statistical methods and tools to identify trends, patterns, and relationships within datasets.
Predictive Analytics
Predictive analytics uses statistical algorithms and machine learning techniques to analyze historical data and forecast future outcomes. It helps businesses make informed decisions by identifying trends, risks, and opportunities based on data-driven predictions.
Computer Vision
Computer vision is a field of artificial intelligence that enables machines to interpret and understand visual information from the world, such as images and videos. It powers applications like facial recognition, object detection, and autonomous navigation.
Natural Language Processing
Natural Language Processing (NLP) is a branch of artificial intelligence that focuses on the interaction between computers and human language. It enables machines to understand, interpret, and generate text or speech, facilitating applications like chatbots, translation, and sentiment analysis.
Reinforcement Learning
Reinforcement learning is a type of machine learning where an agent learns to make decisions by interacting with an environment and receiving feedback in the form of rewards or penalties.It is commonly used in applications like robotics, gaming, and autonomous systems to optimize behavior over time.
Chatbot Development
A chatbot is an AI program designed to simulate conversation with users, often through text or voice interfaces. They can assist with customer service, provide information, and engage users in interactive dialogues, leveraging technologies like natural language processing and machine learning.
My Core Skills
Generative AI & LLMs
- Large Language Models (LLMs)
- Prompt Engineering
- Fine-tuning LLMs
- RAG Implementation
- Generative Models (GANs, VAEs)
- Agentic AI Systems
Machine Learning & Deep Learning
- Supervised/Unsupervised Learning
- Reinforcement Learning
- Computer Vision (CV)
- Natural Language Processing (NLP)
- Model Deployment (MLOps)
Data Science & Analytics
- Data Analysis & Visualization
- Statistical Modeling
- Predictive Analytics
- Feature Engineering
- Database Management (SQL, NoSQL)
Programming & Tools
- Python (TensorFlow, PyTorch, Scikit-learn)
- Cloud Platforms (Azure, AWS)
- Git & Version Control
- Docker
- API Development
Interested? Then Contact Me
Say hello or ask a question!