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| [ | |
| { | |
| "id": "resume_chunk_01", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Professional Summary", | |
| "type": "profile", | |
| "skills": [ | |
| "LLM", | |
| "NLP", | |
| "Python", | |
| "TensorFlow", | |
| "PEFT", | |
| "LoRA", | |
| "QLoRA", | |
| "RAG", | |
| "AI Agents" | |
| ], | |
| "text": "Ashok Helan Brijesh is an ML Engineer and AI Developer based in Kanyakumari, Tamil Nadu, India. AI/ML Engineer with hands-on experience in fine-tuning, evaluating, and deploying Large Language Models (LLMs) and NLP systems using Python, TensorFlow, PEFT, LoRA, and QLoRA. Skilled in Retrieval-Augmented Generation (RAG), AI agents, inference optimization, API deployment, model evaluation, data pipelines, and scalable AI workflows." | |
| }, | |
| { | |
| "id": "resume_chunk_02", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Worktual Experience", | |
| "type": "experience", | |
| "company": "Worktual", | |
| "role": "Python Trainee Software Engineer", | |
| "skills": [ | |
| "LLM", | |
| "PEFT", | |
| "LoRA", | |
| "QLoRA", | |
| "Unsloth", | |
| "vLLM", | |
| "AI Agents", | |
| "MCP", | |
| "Dataset Curation" | |
| ], | |
| "text": "Python Trainee Software Engineer at Worktual from February 2026 to Present. Curated ontology-driven datasets for LLM training and evaluation to improve contextual consistency and data quality. Built AI-agent pipelines and MCP-based integrations to automate workflows and orchestrate multi-service interactions. Fine-tuned and evaluated LLMs using PEFT methods including LoRA and QLoRA with Unsloth. Optimized inference performance using vLLM." | |
| }, | |
| { | |
| "id": "resume_chunk_03", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "IPCS Global Solutions Experience", | |
| "type": "experience", | |
| "company": "IPCS Global Solutions Pvt. Ltd.", | |
| "role": "AI Intern", | |
| "skills": [ | |
| "Machine Learning", | |
| "Deep Learning", | |
| "TensorFlow", | |
| "Keras", | |
| "Python", | |
| "NumPy", | |
| "Pandas", | |
| "SQL", | |
| "Feature Engineering" | |
| ], | |
| "text": "AI Intern at IPCS Global Solutions Pvt. Ltd. from November 2025 to January 2026. Developed and optimized machine learning and deep learning models using real-world datasets. Implemented TensorFlow and Keras solutions on structured data. Performed data preprocessing, feature engineering, exploratory data analysis, and model evaluation using Python, NumPy, Pandas, and SQL." | |
| }, | |
| { | |
| "id": "resume_chunk_04", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Aamin Data Solutions Experience", | |
| "type": "experience", | |
| "company": "Aamin Data Solutions", | |
| "role": "Audit Automation and Analyst", | |
| "skills": [ | |
| "KNIME", | |
| "Audit Automation", | |
| "Workflow Automation", | |
| "Anomaly Detection", | |
| "Data Validation", | |
| "LLM Applications" | |
| ], | |
| "text": "Audit Automation and Analyst at Aamin Data Solutions from May 2025 to October 2025. Designed and deployed more than ten KNIME workflows for audit automation, anomaly detection, and data validation. Reduced manual review effort through workflow automation. Built a prompt-driven analytical chatbot powered by a Large Language Model to support audit analysis and decision-making." | |
| }, | |
| { | |
| "id": "resume_chunk_05", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Ford Motor Company Internship", | |
| "type": "experience", | |
| "company": "Ford Motor Company", | |
| "role": "SAP ABAP Intern", | |
| "skills": [ | |
| "SAP ABAP", | |
| "ABAP OOP", | |
| "BDC", | |
| "LSMW", | |
| "LTMC", | |
| "BAPI", | |
| "SAP ERP", | |
| "RICEF", | |
| "Data Migration" | |
| ], | |
| "text": "SAP ABAP Intern at Ford Motor Company from June 2024 to August 2024. Supported large-scale SAP ERP data migration using ABAP OOP, BDC, LSMW, LTMC, and BAPI tools. Optimized ABAP programs and RICEF developments, improving migration efficiency by twenty percent. Ensured data accuracy and consistency across migrated enterprise datasets." | |
| }, | |
| { | |
| "id": "resume_chunk_06", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Audit RAG System", | |
| "type": "project", | |
| "skills": [ | |
| "RAG", | |
| "LangChain", | |
| "FAISS", | |
| "Ollama", | |
| "Phi LLM", | |
| "Embeddings", | |
| "Semantic Search" | |
| ], | |
| "text": "Developed a Retrieval-Augmented Generation system for audit query answering and document retrieval. Implemented semantic search using FAISS and nomic-embed-text embeddings. Integrated LangChain orchestration with a local Phi language model through Ollama. Delivered context-grounded responses to reduce manual document search effort." | |
| }, | |
| { | |
| "id": "resume_chunk_07", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Suicide Prevention Chatbot", | |
| "type": "project", | |
| "skills": [ | |
| "DialoGPT", | |
| "NLP", | |
| "Transformers", | |
| "Flask", | |
| "React", | |
| "REST API" | |
| ], | |
| "text": "Built a conversational AI system for supportive and non-clinical dialogue generation. Fine-tuned DialoGPT for response generation and implemented NLP preprocessing pipelines. Developed a Flask REST API backend and React frontend for chatbot interaction. Designed stateless inference without persistent conversation storage." | |
| }, | |
| { | |
| "id": "resume_chunk_08", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Emotion Detection System", | |
| "type": "project", | |
| "skills": [ | |
| "CNN", | |
| "RNN", | |
| "TensorFlow", | |
| "Deep Learning", | |
| "Emotion Classification", | |
| "Flask API" | |
| ], | |
| "text": "Developed CNN and RNN models for multi-class emotion classification using labeled datasets. Performed preprocessing, model training, comparative performance evaluation, and inference analysis. Exposed predictions through a Flask REST API for testing and integration." | |
| }, | |
| { | |
| "id": "resume_chunk_09", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Machine Learning and LLM Skills", | |
| "type": "skills", | |
| "skills": [ | |
| "Python", | |
| "NumPy", | |
| "Pandas", | |
| "Scikit-learn", | |
| "TensorFlow", | |
| "Keras", | |
| "PyTorch", | |
| "CNN", | |
| "RNN", | |
| "LSTM", | |
| "Transformers", | |
| "PEFT", | |
| "LoRA", | |
| "QLoRA", | |
| "Unsloth" | |
| ], | |
| "text": "Technical skills include Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, CNN, RNN, LSTM, Transformers, PEFT, LoRA, QLoRA, Unsloth, transformer fine-tuning, adapter merging, and base versus instruct model evaluation." | |
| }, | |
| { | |
| "id": "resume_chunk_10", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Deployment and Infrastructure Skills", | |
| "type": "skills", | |
| "skills": [ | |
| "AI Agents", | |
| "LangChain", | |
| "Ollama", | |
| "MCP", | |
| "vLLM", | |
| "Flask", | |
| "REST API", | |
| "Docker", | |
| "Git", | |
| "GitHub", | |
| "MySQL", | |
| "Vector Databases" | |
| ], | |
| "text": "Experienced with AI agents, LangChain, Ollama, MCP integrations, Flask, REST APIs, vLLM inference deployment, Docker, Git, GitHub, MySQL, vector databases, computer vision, KNIME, SAP ABAP, and model inference optimization." | |
| }, | |
| { | |
| "id": "resume_chunk_11", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Certifications", | |
| "type": "certification", | |
| "skills": [ | |
| "TensorFlow", | |
| "Deep Learning", | |
| "GPU Computing" | |
| ], | |
| "text": "Completed IBM certification programs in Deep Learning using TensorFlow and Accelerated Deep Learning with GPU technologies." | |
| }, | |
| { | |
| "id": "resume_chunk_12", | |
| "candidate": "Ashok Helan Brijesh", | |
| "title": "Education", | |
| "type": "education", | |
| "skills": [ | |
| "Computer Science Engineering" | |
| ], | |
| "text": "Bachelor of Engineering in Computer Science and Engineering from Rajiv Gandhi College of Engineering. Graduated in 2025 with a CGPA of 8.2." | |
| } | |
| ] |