AI & ML DEVELOPER

EDUCATION

Allan Almeida

Phone: +1-240-***-**** Email: ********@***.***

University of Maryland, Robert H. Smith School of Business Aug 2024 - Dec 2025 Master of Information Systems

• Achievements: Terrapin Scholar

• Coursework: Database Management, Data, Models, and Decisions Using R, Data Processing and Analysis in Python, Project Management Dwarakas J. Sanghvi College of Engineering Mumbai, India 2020 - 2024 Bachelor Of Technology, IT

• Achievements: GPA 3.68, With Honors in DevOps

WORK EXPERIENCE

University of Maryland (College Park) Mar 2025- present Graduate Teaching Assistant (BGMT431, BUS0733) Remote

• Worked on creating educational content on using AI agents such as ChatGPT, Claude in data mining and data visualization

• Held office hours to clear doubts faced by students and did grading for course assignments Atomic Asher LLP Mar 2023 - Jun 2024

Lead developer Mumbai, India

• Directed a development team of 5 using agile methodologies, building website using MERN stack and AI tools using python framework for clients.

• Implemented various LLMs using azure cloud for creating secure and private LLMs, automated client workflows and developed WhatsApp automation bots using Selenium.

• Built a QR payment authentication app with a focus on algorithms and data structures, enhancing security and managing over 1,000 users/month.

• Worked with building various ML models using Pytorch and TensorFlow and deployed them using AWS EC2 instances to create AI driven security solutions

• Developed a multilingual customer care web app using deno.js and built a Vector database using Pinecone for it integrating object- oriented methods to streamline communication across multiple regions. IIT Patna Oct 2023 - Jul 2024

Research Intern Remote

• Applied OpenCV for image preprocessing, feature extraction, and segmentation in medical imaging, improving classification accuracy by 97% by fine tuning vision models.

• Automated scraping of data via Selenium to build a database for drug reactions and ensured security of data, including medical imaging datasets and cybersecurity logs, to enhance model accuracy and detect potential threats.

• Used LLMs such as Llama 2 and 7b for drug reaction and depression detection among patients in medical dataset

• Applied quantization to compress the model’s complexity while maintaing the accuracy of the model GCM insurance Aug 2022 - Oct 2022

Data Analyst Intern Remote

• Built a ML model to predict stock market prices and used various market strategies to build a stock market portfolio having Sharpe ratio greater than 1

• Provided recommendations for lower-risk policies, leading to a 40% increase in profits.

• Built a dashboard using Tableau to analyze the firm's data and identified key trends in insurance policies PROJECT EXPERIENCE

Phishing Detection

• Led a team to develop a web-based extension using machine learning models such as Random Forest and XG-Boost to classify URLs and identify phishing threats thereby mitigating cybersecurity threats faced by users.

• Reduced potential user risks by 20% through effective anomaly detection and mitigation strategies following is the Publication link of the paper

• Built a web extension API for wider usage

AI based Law assistant

• Developed a Generative AI Retrieval Augmented system (RAG) to analyze and summarize legal documents, reducing workload by 80% and optimizing the file system using FAISS

• Integrated a fine-tuned ML model to extract private client data and redact it to maintain client confidentially

• Project is published in the reputed IEEE journal publication TECHNICAL SKILLS

• Languages: Python, JavaScript, SQL, C++, Kotlin, React, Powershell, Node.js

• Programming Concepts: Object-oriented programming, Data structures, Algorithms, Computer science fundamentals, Parallel and Distributed System

• Machine/Deep Learning: PyTorch,TensorFlow Convolutional Neural Networks (CNNs), Regression model, Classification model, Open CV, Natural Language Processing, Long Short-Term Memory, Gen AI

• Cloud: AWS, AZURE, Google Cloud

• Data Analysis: NumPy, Pandas, SciKit-Learn, Hadoop, Gen AI, LLM, Django, Flask

• Database: MySQL, MongoDB, SQL

• Data Visualization: Matplotlib, Seaborn, Tableau

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