AI & Finance Expert

Exploring the intersection ofAI, Finance & Entrepreneurship

With a strong foundation in AI/ML research, software development, and fintech, I thrive on solving real-world challenges through technology and innovation.

About

My Background

👋 Hi, I'm Utsav Doshi — a Computer Science graduate student at NYU, driven by a passion for Software, AI, ML, Finance, and Entrepreneurship. From developing self-driving car perception systems to GAN-based image translation models, I love turning complex ideas into impactful, real-world solutions through code and innovation. My work blends deep technical expertise with a curiosity for how systems shape industries.

💡 As I dive deeper into the world of finance, I'm bridging Software with financial/legal systems through coursework at NYU Stern, including Foundations of FinTech. I'm especially interested in AI-driven fintech, quantitative trading, and algorithmic innovations that push the boundaries of what's possible in modern finance. This unique intersection allows me to tackle financial challenges with a data-driven, innovative mindset.

🚀 Whether it's building intelligent systems, exploring startup ideas, or tackling real-time data challenges, I'm always seeking collaborative opportunities that blend deep tech with strategic thinking. I thrive in fast-paced, cross-functional environments where technology meets business impact. Let's connect and build something that makes a difference.

$learn more --about utsavdoshi
Skills

Technical Expertise

Programming Languages

PythonJavaCC++JavaScriptHTMLCSSRSQLPL/SQLSwift

AI/ML & Data Science

Multimodal Machine LearningLarge Language Models (LLMs)Retrieval-Augmented Generation (RAG)Prompt EngineeringComputer VisionObject DetectionYOLOv8Generative AIDiffusion ModelsGLIDECLIPBLIPConditional GANsAdversarial TrainingImage SynthesisBERTBM25Natural Language Processing (NLP)Automated Grading SystemsNLP Evaluation ModelsDeep LearningMachine LearningDecision TreesLogistic RegressionXGBoostRandom ForestFeature Engineering

Frameworks & Libraries

TensorFlowPyTorchKerasscikit-learnHugging FaceDjangoReact.jsNumPyPandasMatplotlibSciPyOpenCVPyMC3FlaskSwiftUIONNXPEFT (Parameter-Efficient Fine-Tuning)LangChain

Quant and Finance

Financial Risk ModelingFinancial Modeling & Value CreationQuantitative AnalysisRisk AssessmentAlgorithmic TradingSME FinanceForecasting ModelsPredictive ModelingStatistical ModelingMathematical ModelingBayesian ModelingProbabilistic ProgrammingModel Selection (BIC, Posterior Checks)Cross-ValidationAccuracy Optimization

Cloud & DevOps

Amazon Web Services (AWS)AWS LambdaAWS ECSCloudWatchDockerCloud ComputingCI/CD (Continuous Integration / Continuous Delivery)Prometheus

Databases & Storage

MongoDBMongoDB AtlasPostgreSQLGridFSDynamoDBMySQLOracle SQLNoSQLDatabase Design

Web & App Development

Web DevelopmentFull-Stack DevelopmentREST APIsiOS DevelopmentJSON-LDA/B TestingPersonalization EnginesSearch Engine Optimization (SEO)Responsive DesignMicroservices

Specialized Technologies

Data ScienceReal-time MonitoringLatency and Jitter AnalysisGoogle OptimizeNSFW FilteringDeep Packet InspectionAdaptive Bandwidth AllocationImage ClassificationCV–LLM Integration

Tools & Platforms

GitGitHubTableauMatlabHadoopApache SparkBig Data

Methodologies & Soft Skills

Agile MethodologiesTeam CollaborationTechnical ResearchResearch AssistanceProject ManagementProblem SolvingStrategic ThinkingInnovation
Experience

Professional Journey

McKinsey Forward Program

Apr 2025 - Present

McKinsey & Company · United States (Remote)

  • Collaborated with a global cohort to develop an AI-driven financial risk analysis tool using Python, AWS Lambda, and DynamoDB, improving forecast accuracy by 12% on $10M+ SME financial datasets
  • Enhanced team efficiency by 20% by applying machine learning models, AWS cloud services, and Agile methodologies to optimize financial data workflows and collaborative resolution of technical challenges
Financial Risk AnalysisAWS Cloud ServicesMachine LearningAgile Methodologies

Research Assistant

Apr 2025 - Present

NYU Stern School of Business · New York, NY

  • Engineered an iOS app powered by AI/ML APIs with a Flask, achieving 90% accuracy in sub-2-second meal analysis
  • Architected a MongoDB-backed system with robust API integration, sustaining 95% uptime for 10K+ concurrent users
iOS DevelopmentFlaskMongoDBAPI Integration

Teaching and Research Assistant

Dec 2021 - Jun 2024

SRM's Directorate of Learning and Development · Chennai, India

  • Developed an AI grading tool for 8,000+ student submissions with BERT and BM25, achieving 98.1% accuracy and boosting efficiency
  • Created a mathematical model for testing validity, implemented as a parallel entity to traditional evaluations
  • Introduced as a supplementary evaluation tool to enhance accuracy and scalability for evaluating large volumes of papers
  • Ranked 1st out of 2,800+ students in both C Programming and Object Oriented Programming

Web Designing and Software Development Intern

Apr 2023 - Aug 2023

Launchr Tech · Delhi, India (Remote)

  • Transformed and maintained client websites; guided SaaS tools for e-commerce with SEO and AI features
  • Increased traffic by 20% and client productivity by 40%, enhancing customer satisfaction and online presence

Industrial Research Mentorship

Mar 2023 - May 2023

Microsoft · Redmond, WA (Remote)

  • Conducted Generative AI research on GLIDE model under Senior Director, achieving 96% precision in image generation
  • Designed and optimized cGAN models, improving image diversity 30% through feedback and training over 80k steps
  • Enhanced generative model reliability by 25%, ensuring ethical generative art with high-fidelity outputs

Software Development Intern

Nov 2022 - Apr 2023

VCOM Technologies PVT LTD · Mumbai, India

  • Developed AI-based SD-WAN optimizer using Python and Logistic Regression to improve routing and latency
  • Built WAN analytics tools with Flask and Pandas, reducing transmission costs by 15%
  • Integrated real-time anomaly detection via Decision Trees, deployed with Docker on AWS, cutting downtime 18%

Machine Learning Research Team Member

Jan 2022 - Mar 2022

Blackbox · Singapore (Remote)

  • Crafted Bayesian cross-validation models using Python, PyMC3, and NumPy to enhance predictions
  • Optimized model selection with BIC and posterior checks, cutting interpretation errors by 15%
  • Improved accuracy to 80.83% with 10-fold cross-validation using scikit-learn, ensuring consistency
Education

Academic Background

NYU Tandon School of Engineering / NYU Stern School Of Business

Aug 2024 - May 2026

M.S. in Computer Science / Foundations of FinTech

Grade: 3.67/4

Relevant Coursework:

Fall 2024

  • CS-GY 6063 Software Engineering
  • CS-GY 6083 Principles of Database Systems
  • CS-GY 6513 Big Data

Spring 2025

  • CS-GY 6033 Design and Analysis of Algorithms I
  • CS-GY 6923 Machine Learning
  • INTA-GB 2380-20 Foundations of FinTech (NYU Stern)

SRM Institute of Science and Technology

Aug 2020 - May 2024

B.Tech. in CSE with Specialization in AI and ML

CGPA: 9.49/10

Activities and societies:

  • Part of SRM's Directorate of Learning and Development, guided by the college director
  • Microsoft Learn Student Ambassadors
  • Google Developer Student Clubs
  • Gen-Y Events

Relevant Coursework:

DSA, OOPS, Computer Organization and Architecture, Design and Analysis of Algorithm, OS, Software Engineering and Project Management, Computer Communications, Computer Networks, Formal Language Automata, Computer Vision, Statistical Machine Learning, DBMS, Compiler Design, AI, Applied Machine Learning

Achievements:

  • Industry Expert Lead Extra 3 Credit Course on: Node JS and React JS
  • Only the top 10% of the entire department were selected for the course
  • Department Size- 750
Projects

Featured Work

AI-based Automated Descriptive Answer Evaluation System

May 2022 - May 2024

  • Developed an AI grading tool for 8,000+ student submissions with BERT and BM25, achieved 98.1% accuracy and boosted efficiency
  • Created a mathematical model for testing validity, implemented as a parallel entity to traditional evaluations
  • Introduced as a supplementary evaluation tool to enhance accuracy and scalability for evaluating large volumes of papers

Computer Vision and Perception for Self Driving Cars

Jul 2022 - Aug 2023

  • Implemented road segmentation, object detection, and tracking for autonomous navigation, improving visual processing and safety
  • Achieved 80% system closeness to fully autonomous self-driving through advanced computer vision techniques
  • Utilized TensorFlow, OpenCV, and PyTorch to create a comprehensive perception system for autonomous vehicles

pix2pix: Image-to-image translation

Jun 2023 - Aug 2023

  • Devised and trained a pix2pix conditional GAN, achieving over 90% accuracy on image-to-image translations after 200 epochs
  • Optimized training to 15 seconds per epoch on a V100 GPU, significantly improving development efficiency
  • Implemented versatile image transformation capabilities including colorization, sketch-to-photo conversion, and aerial view generation with high fidelity results

Bayesian Model Cross Validation Machine-Learning

Dec 2021 - Mar 2022

  • Created a Gaussian Naïve Bayes Classifier to predict income levels with Bayesian validation
  • Achieved 0.8083 accuracy, ensuring strong predictive reliability through rigorous testing
  • Implemented 10-fold cross-validation using scikit-learn to ensure model consistency and robustness
More About Me

Additional Information

Merit Scholarship – New York University

NYU Tandon School of Engineering · Feb 2024

Honored to receive a $12,000 merit scholarship from NYU Tandon in recognition of my academic excellence and achievements. This award reflects my dedication to continuous learning, personal growth, and contributing to the NYU community. Grateful for this support and excited to leverage this opportunity to further my education and make a meaningful impact in my field.

Barclays Hackathon - Top 20 out of 2500 students

Barclays · Apr 2023

Achieved top 20 placement among 2500 participants in the Barclays Hackathon.

ACM Faculty Team Hackathon - 1st Runner Up

Association of Computing Machinery · Mar 2022

Secured 1st Runner Up position in the ACM Faculty Team Hackathon.

ReskillIxSparkAR Hackathon - Best Idea Presentation

ReskillIxSparkAR · Dec 2021

Recognized for the Best Idea Presentation at the ReskillIxSparkAR Hackathon.

Ranked 1st- Best Photography (Batch 2018)

National Institute of Photography, India · Jul 2018

Achieved top ranking for photography in the 2018 batch at the National Institute of Photography, India.

Contact

Get In Touch

Interested in collaborating or have a project in mind? Feel free to reach out through any of the channels below or use the contact form.

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