Manoj Athreya A Email & Phone Number

Toronto, Ontario, Canada

• Analyzed technical requirements and developed solutions to meet business needs with collaboration across cross-functional teams to identify and mitigate project risks.
• Improved project delivery timelines by 20% through process improvements and optimized workflows through data models, APIs, and integrations.
• Leveraged Salesforce to analyse data and create interactive visualizations, providing actionable insights to inform project decisions and drive strategic planning.
• Designed and implemented automation workflows using Python scripting and Zapier CRM, automating repetitive tasks with the help of Smartsheets and improving project management efficiency.

Toronto, Ontario, Canada

• I worked as an MLA for the Vector Institute for the NLP Cohort 2023. As a Machine Learning Intern at New Software, I contributed to cutting-edge projects.
• I created the LLM pipeline to experiment with NLP tasks by model tuning process (SFT) to enhance the performance of Mistral-7B, Zephyr-7B and LLaMA-2 with the QLoRA, LoRA and DPO techniques.
• Evaluated results on benchmark datasets such as CNN/DM, XSum, SQuAlity, SQuAD, and NEWTS also employed model distillation using GPT-4 for training and evaluation.
• Furthermore, I am honoured to have secured MITACS funding for my project, showcasing my dedication to advancing the field of Generative AI.

Ottawa, Ontario, Canada

• Conducted comprehensive analysis of construction budgets for multiple building projects, by leveraging the data through Python scripts and automating the reconciliation process which reduced 80% of human work.
• Managed the financial aspects of monitoring cash flow in the ERP system by building a data pipeline and aggregating the results using Power Query and visualizing through Power BI.
• Demonstrated strong communication and collaborative skills by regularly liaising with project stakeholders, contractors, and vendors to ensure alignment with budgetary goals and project timelines.

London, Ontario, Canada

• Preprocessed 100k emotions data using Airflow and Pyspark and used the Pegasus text augmentation technique which improved the data quality and sample size by 30%.
• Designed an ML pipeline for efficient multiclass emotion classification, including feature engineering and hyperparameter tuning using Optuna.
• Optimized MP-Net, XGBoost, and SVM models for high-performance emotion classification in the model architecture which could detect Sarcasm emotion with 85% accuracy.
• Leveraged AWS Cloud for scalable model training and development, and processing of large-scale data.

Bengaluru, Karnataka, India

• Worked on developing new functionalities to the TCS Bancs portal using Java.
• Programmed the workflow for creating Rest-APIs for the existing web services.
• Created Narrations for Processed Transactions between accounts.
• Delegated the audit movement to ensure a smooth process in the project deliverables.

Mysuru

Bengaluru Area, India

Responsibilities:Engineered a forum to connect farmers and agricultural experts.Researched and Analyzed the communication gap to make it convenient.Designed and developed the framework using LAMP Stack.Handled the website console of the company and re-designed the UI/UX part using JavaScript.

Master Of Science - Ms, Computer Science, A+ (3.96/4.0)

Courses: CSI 6900 - Graduate Project - Personalized Learning Platform using RAG Machine Learning - CSI5155 Natural Language Processing.

Bachelor Of Engineering, Computer Science, 8.23

Pre-University, Pcme, 90%