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AI Engineer with 1+ years in LLM Development & Deep Learning
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Assessing your cultural and operational fit
Entry-level AI Engineer and Software Developer with a B.Tech in Artificial Intelligence and Data Science (GPA 8.5/10). Experience building LLM evaluation pipelines, prompt engineering workflows, and deep learning models for production systems. Oracle OCI Generative AI Certified Professional and AWS Cloud Essentials certified. Published researcher recognized in the American Book of Records (Star Summit 2024). Proficient in Python, TensorFlow, PyTorch, LangChain, and full-stack web development.
SIMATS Engineering, Saveetha School of Engineering
B.Tech · Artificial Intelligence and Data Science
August 1, 2021 – June 30, 2025
Sri Vikasa Vidyalaya Matriculation Hr. Sec. School
Higher Secondary Certificate (HSC)
N/A – May 31, 2021
Hurix Digital
AI/LLM Associate
August 1, 2025 – Present
Chennai, Tamil Nadu, India
Corizo
Web Development Intern
April 1, 2025 – July 31, 2025
Chennai, Tamil Nadu, India
Soil Erosion & Land Degradation Detection
January 1, 2024 – January 1, 2024
• Built a deep neural network image classifier achieving 87% accuracy on a 4-class imbalanced dataset, outperforming a baseline SVM model by 12+ percentage points. • Developed an end-to-end machine learning pipeline covering data collection, augmentation, training, hyperparameter tuning, and evaluation using scikit-learn and NumPy. • Published at the SRM 4th International Conference (2024); recognized in the American Book of Records at Star Summit 2024.
Greenhouse Automation System (SmartBreeze)
January 1, 2024 – January 1, 2024
• Built an IoT climate-control system using DHT22 sensors and NVIDIA Jetson Nano, achieving automated fan-speed regulation within ±0.5°C. • Developed Python scripts for real-time sensor data processing, reducing manual monitoring overhead across 3 greenhouse zones.
AWS Cloud Essentials Knowledge Badge
Amazon Web Services
January 1, 2024 – Present
Oracle Certified Professional: Cloud Infrastructure 2024 Generative AI Certified Professional
Oracle
January 1, 2024 – Present
TCS ION Career Edge - Young Professional
TCS ION
January 1, 2024 – Present
Technical English for Engineers
NPTEL
January 1, 2024 – Present
NVIDIA Jetson Nano Workshop
NVIDIA
January 1, 2024 – Present
Recognized in the American Book of Records for 4 deep learning research works presented at Star Summit 2024
American Book of Records
January 1, 2024 – Present
Published researcher SRM 4th International Conference on Deep Learning in Environmental Monitoring (2024)
SRM 4th International Conference on Deep Learning in Environmental Monitoring
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic background in AI and Data Science, coupled with professional experience as an AI/LLM Associate, shows a clear passion and alignment with AI-focused roles. Project diversity, including deep learning for environmental monitoring and IoT climate control, demonstrates a broad interest in applying AI to different domains. The certifications and publications further highlight a drive for continuous learning and contribution, which are positive indicators for cultural fit in a dynamic technical environment.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through academic publications and certifications. Project descriptions indicate an ability to work on complex technical problems and deliver measurable improvements (e.g., 87% accuracy, 30% reduction in manual correction). The experience with QA pipelines and benchmarking suggests an attention to detail and a focus on quality in AI systems. The blend of academic research and practical application in an associate role indicates a good operational fit for an AI Engineer position.