JAKKALA GOKUL TEJA
AI/ML Engineer
Hyderabad
Summary
Machine Learning Engineer with experience in developing computer vision, NLP, and LLM-based enterprise AI systems. Skilled in building scalable machine learning pipelines, data processing architectures, and production-ready AI solutions. Experienced in designing low-hallucination AI chatbot systems, object detection models, and cloud-integrated analytics platforms. Strong background in applied AI research and deploying intelligent systems that transform complex data into actionable business insights.
Overview
2
2
years of professional experience
1
1
Certification
1
1
Language
Work History
AI / Machine Learning Engineer
Asakta Electronics and Communications, Hyderabad
12.2025 - Current
- Built YOLO-based computer vision models for electrical infrastructure detection across 40+ classes (poles, service connections, equipment).
- Developed data pipelines for 10K+ annotated images for training and evaluation.
- Designed a low-hallucination LLM chatbot integrated with Vcube for Shirdi Sai Electricals Ltd (SSEL) to enable natural language business queries.
- Implemented query classification + SQL-grounded retrieval, reducing hallucinated responses by ~90%.
- Integrated LLM APIs, enterprise databases, and analytics dashboards for real-time business insights.
AI Research Engineer
International Institute of Information Technology Hyderabad (IIIT-H)
02.2024 - 06.2025
- Worked on AI-based document translation systems designed to preserve layout structures across multilingual documents.
- Developed OCR and NLP-based layout extraction pipelines capable of processing 5000+ structured PDF documents.
- Implemented deep learning-based layout reconstruction algorithms improving readability of low-resource language translations.
- Built automated data preprocessing and annotation pipelines for the Indian Driving Dataset (IDD) used in autonomous driving research.
- Processed and analyzed 100,000+ annotated image labels to improve object detection model training.
- Designed data augmentation strategies to reduce dataset imbalance and improve model generalization.
- Created analytics dashboards for model evaluation metrics including precision, recall, and latency across multiple object classes.
Education
Bachelor of Technology - Computer Science and Engineering
Methodist College Of Engineering
Abids, Telangana05-2025
Skills
Proficient in Python, Java, JavaScript, and SQL
Proficient in deep learning and NLP
Computer vision expertise
Data preprocessing
Full-stack development with Expressjs
Proficient in MySQL and MongoDB
Cloud computing fundamentals: AWS (S3, Lambda), Google Cloud
Experience with version control systems
Analytical problem-solving
Accomplishments
- Developed a low-hallucination enterprise AI chatbot integrated with Vcube for Shirdi Sai Electricals Ltd, enabling natural language business queries from structured datasets.
- Built YOLO-based infrastructure detection models supporting 40+ electrical asset classes.
- Processed and prepared 10K+ annotated images for computer vision model training and evaluation.
- Designed OCR + NLP pipelines for layout-preserving document processing during research at International Institute of Information Technology Hyderabad.
- Contributed to preprocessing and analysis of 100K+ labeled samples for the Indian Driving Dataset (IDD) used in autonomous driving research.
- Developed AI pipelines and dashboards to evaluate model performance across multiple classes and datasets.
Certification
Mastering Artificial Intelligence, Data Analysis With Python, Introduction to IoT, AI and Machine Learning, Data Science With Python.
Timeline
AI / Machine Learning Engineer
Asakta Electronics and Communications, Hyderabad
12.2025 - Current
AI Research Engineer
International Institute of Information Technology Hyderabad (IIIT-H)
02.2024 - 06.2025
Bachelor of Technology - Computer Science and Engineering
Methodist College Of Engineering