IMAGE RECOGNITION
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Summary
Developed a deep learning-based image recognition system using Convolutional Neural Networks (CNNs) to classify images with high accuracy.
Results-driven Generative AI Engineer with a strong foundation in Artificial Intelligence and Machine Learning, specializing in developing and deploying LLM-powered pipelines, deep learning models, and responsive web applications. Proven ability to engineer scalable microservices, optimize model performance, and integrate robust monitoring and security controls on cloud platforms like OCI, poised to deliver innovative AI solutions.
GEN-AI ENGINEER
Remote, N/A, India
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Summary
Engineered and deployed LLM-powered pipelines with RAG, vector databases, and agentic workflows on Oracle Cloud Infrastructure (OCI), demonstrating advanced GenAI capabilities.
Highlights
Implemented model fine-tuning, prompt engineering, and evaluation frameworks to optimize the accuracy and latency of AI solutions.
Built scalable microservices for GenAI applications utilizing Python/Java, containers, and Kubernetes for robust deployment.
Integrated comprehensive monitoring, security, and governance controls to ensure enterprise-grade AI solutions on OCI.
FREELANCER
Hyderabad, Telangana, India
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Summary
Completed Deloitte Technology Job Simulation, gaining practical hands-on experience in coding and development through real-world tasks.
Highlights
Gained practical, hands-on experience in coding and development through a comprehensive technology job simulation.
Developed problem-solving skills by completing practical tasks within a simulated professional environment.
Acquired insights into industry-standard development practices and workflows at Deloitte, enhancing professional readiness.
WEB DEVELOPER
Remote, N/A, India
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Summary
Developed and maintained responsive web applications, optimized RESTful APIs, and collaborated on code deployment to enhance user experience.
Highlights
Developed and maintained responsive web applications utilizing HTML, CSS, JavaScript, and modern frameworks to ensure optimal user experience.
Built and optimized RESTful APIs, integrating databases like MySQL/MongoDB to enhance application functionality and data management.
Ensured cross-browser compatibility, responsive UI/UX, and high application performance across diverse platforms.
Collaborated effectively with development teams on code reviews, debugging, and deployment using Git and cloud platforms.
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B.Tech
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
Grade: 8.57
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Intermediate
MPC
Grade: 960/1000
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High School
SSC
Grade: 9.8/10
Awarded By
Oracle
Recognized for specialized skills in designing and deploying LLM-driven solutions on Oracle Cloud Infrastructure (OCI), focusing on building RAG pipelines, agentic workflows, and vector database integrations to power enterprise-grade applications. Demonstrated expertise in model fine-tuning, prompt engineering, and performance optimization, alongside developing scalable microservices in Python/Java with containerized deployments on Kubernetes.
Awarded By
Deloitte
Completed the Deloitte Technology Job Simulation, gaining hands-on experience in coding and development through practical tasks, enhancing professional readiness and industry insights.
Python, SQL, Java, HTML, CSS, JavaScript.
TensorFlow, Keras, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn, OpenCV, Deep Learning, Convolutional Neural Networks (CNNs), LSTM.
LLM Prompt Engineering, Large Language Models (LLMs), GPT, LLAMA, PaLM, LangChain, RAG (Retrieval-Augmented Generation), Vector Databases, Agentic Workflows.
RESTful APIs, MySQL, MongoDB, Flask, Streamlit, UI/UX Design, Cross-browser Compatibility.
Oracle Cloud Infrastructure (OCI), Kubernetes, Containers, Git, Cloud Platforms, Microservices.
Yahoo Finance API, Data Preprocessing, Time-series Analysis.
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Summary
Developed a deep learning-based image recognition system using Convolutional Neural Networks (CNNs) to classify images with high accuracy.
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Summary
Developed an LSTM-based deep learning model for stock price prediction using historical financial data, deploying an interactive real-time prediction system.