Machine Learning Generative Ai

ABHI VAKIL

Linkedin Github +1-412-***-**** **********@*****.*** Work Permit - Permanent Resident EDUCATION

Carnegie Mellon University Expected Graduation- December 2025 Master of Information System Management (MISM) SGPA - 4.0 Deep Learning, Generative AI Lab, Managing Distributed System, OOP Java, DBMS, Distributed Systems, AI Innovation Lab. Pandit Deendayal Energy University (PDEU) Sept, 2020-June, 2024 Bachelor of Technology in Computer Science and Engineering CGPA - 9.36/ 10 SKILLS

Deep Learning and Generative AI: Python, PyTorch, TensorFlow, Keras, CNNs, RNNs, Transformers (BERT, GPT), GANs, GNNs, Diffusion Models, LangChain, RAG Pipelines, Prompt Engineering, LLM Fine-tuning, HuggingFace Transformers. Scientific Computing & Machine Learning: Supervised/Unsupervised Learning, Optimization Algorithms, Time-Series Forecasting (ARIMA, Prophet), Statistical Modeling, Signal & Image Processing, NumPy, Pandas, Scikit-learn, SciPy, Jupyter. Computer Vision and Robotics: OpenCV, Detectron2, YOLOv8, LiDAR Processing, ROS, Autonomous Systems. Cloud Platforms & Scalable Systems:Java, AWS (EC2, S3, Lambda, Bedrock, SageMaker), Docker, Kubernetes, Splunk. Big Data & Analytics:Apache Spark, Hadoop, PySpark, Kafka, SQL, NoSQL, MongoDB, Data Visualization (Tableau). WORK EXPERIENCE

CREST DATA SYSTEM Gujarat, India

Cybersecurity AI and Automation Intern (Data and Security) June-August, 2024

● Designed AI-driven security use cases using Python and Spark, boosting threat detection accuracy by 15% through analysis of CrowdStrike logs.

● Built automated dashboards integrating multi-source SIEM data, cutting incident triage time by 10%. CREST DATA SYSTEM San Jose, California

Data Science Intern June-August, 2023

● Developed Python pipelines to ingest and preprocess log data from ~5,000+ employee endpoints into Splunk, enabling efficient real-time monitoring.

● Created dynamic Splunk dashboards for large-scale log analysis and visualization for data-driven decision-making.

● Collaborated with analysts to uncover usage patterns, optimizing data flows for better dashboard insight generation. INFIBEAM AVENUES Gujarat, India

Data Analyst Intern July - Sept, 2022

● Extracted and preprocessed structured event data from 20,000+ raw log/CSV files, ensuring data quality by eliminating null values and outliers.

● Pioneered data visualization initiatives, analyzing 60,000+ student enrollment trends and generating comprehensive reports with strategic recommendations for an e-learning venture. PROJECT

AI-Based Stock Market Spy Predictor, Deep Learning Course February - Present, 2025

● Developing a hybrid forecasting model using Physics Informed Neural Network, GBM, and ARIMA for multi-scale financial trend prediction.

● Integrated NLP-driven sentiment analysis, Markov chain modeling, refining market investment insights. Scalable Java Distributed System, Distributed Systems Course February - Present, 2025

● Designed a scalable client-server system using Java RMI with dynamic load balancing and resource allocation.

● Explored blockchain-based transaction logging to enhance security, auditability, and system transparency. Multimodal Generative AI for Product Reviews, CMU Generative Al Lab January - February, 2025

● Built a LangChain-based RAG pipeline combining LLMs and Diffusion Models to convert product reviews into AI- generated images, reflecting consumer reviews into generating appropriate descriptive product advertisement.

● Applied chunking, embedding strategies for easy semantic retrieval, followed by an autonomous Agentic Workflow.

● Optimized inference latency and memory utilization, making the model adaptable to edge deployment scenarios. RESEARCH EXPERIENCE AND PUBLICATIONS

INDIAN SPACE RESEARCH ORGANISATION (ISRO) Gujarat, India Researcher (Micro Sensing and Radar Technologies Department) January - March, 2024

● Engineered Wiener Deconvolution model to enhance satellite imagery via GNSS-R and SAR fusion, achieving 10 resolution improvement.

● Built pipelines for large-scale satellite data, contributing to applied research in navigation and climate intelligence. COMPETITIONS AND LEADERSHIP

Kaggle Competitions, CMU Deep Learning Course January - Present, 2025

● Designed and optimized CNN transformer-based models for real-world use-cases, improving benchmark accuracy. Patent in Progress – Multimodal Perception Framework for Product Interaction March - Present, 2025

● Designing a patentable multimodal AI workflow that integrates computer vision, augmented reality, and sentiment analysis to enhance user perception of products.

● Targeted toward fashion and advertising sectors, the system delivers an interactive, AI-driven experience by unifying visual, contextual, and emotional signals.

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