Education & Experience

My academic background, professional journey, skills, and credentials.

Education

Master's in Computer Science

New York University, Tandon School of Engineering

Also took Data Science & AI for Business at NYU Stern (Sep–Dec 2025)

2024 – 2026 GPA 3.92

Coursework

Machine Learning · Cloud Computing · Information Visualization · Design & Analysis of Algorithms · Java Programming · Human Computer Interaction · Software Engineering · Big Data

Clubs & Leadership

Catholic Graduate & Law Students Association, President · Graduate Orientation Leader 2025

Achievements

UN ECOSOC Delegate 2026 · NYU Bootcamp Winner 2025 · AWS Grant · Meta-Research Symposium · AWS AIdeas Semi-Finalist

BE Computer Engineering

University of Mumbai, Rajiv Gandhi Institute of Technology

2018 – 2022 9.76 / 10

Coursework

Algorithms · Discrete Math · Statistics · ML · AI · Python & Java · Data Structures · Cloud Computing · Networking · OS · Web Dev · Software Eng · Database

Leadership

President, CESS · President, Codecell · President, LEAD · Technical Secretary, Student Council

Achievements

Ranked 4th in Department · LOR for COVID Attendance Software · Organized Recursion Hackathon · IEEE PuneCon 2022

Higher Secondary Certificate (HSC)

RIMS International School & Junior College

2016 – 2018 90.15%

Stream

Science, Physics, Chemistry, Mathematics

Secondary School Certificate (SSC)

St. Xavier's High School & Junior College

2004 – 2016 92.80%

Leadership

Chief Prefect 2015–2016 · Assistant Head Boy 2009–2010

Work Experience

Professional & Industry

NYU Academic & Research

Research Assistant

Center for Conflict & Cooperation

Current

Mar 2026 – Present

  • AI equity research using R Studio and LLMs
  • Analyzing AI in developed vs. developing countries
R StudioLLMsAI Policy

Graduate Adjunct

IESoSC, Smart Cities

Teaching

Jan – May 2026

  • Led syllabus planning and instructor recruitment
  • Teaching IESoSC 1.0 spring program
CurriculumSmart Cities

Course Instructor

IESoSC · 40 Students

Teaching

Jun – Aug 2025

  • 5-week ML/Python accelerator for NYC high-schoolers
  • TensorFlow, Arduino, IoT, business pitching
ML/PythonTensorFlowArduino

Java TA

New York University

Part Time

Sep – Dec 2025

  • Java concepts, debugging, OOP design
  • Office hours and coursework grading
JavaOOP

Web (IT) Assistant

CASA Italiana

Current

Sep 2024 – Present

  • Interactive map, website testing, data archiving
  • Event filming and management
Web DevData Archiving

Skills & Technologies

PythonPython
JavaJava
JavaScriptJavaScript
TypeScriptTypeScript
C++C/C++
C#C#
SwiftSwift
RR
PHPPHP
HTMLHTML5
CSSCSS3
MATLABMATLAB
TensorFlowTensorFlow
PyTorchPyTorch
Scikit-learnScikit-learn
PandasPandas
NumPyNumPy
MatplotlibMatplotlib
OpenCVOpenCV
JupyterJupyter
AWSAWS
GCPGCP
AzureAzure
DockerDocker
KubernetesKubernetes
TerraformTerraform
JenkinsJenkins
GitGit
LinuxLinux
GitHubGitHub
PostgreSQLPostgreSQL
MongoDBMongoDB
MySQLMySQL
SparkSpark
HadoopHadoop
RedisRedis
DynamoDBDynamoDB
ReactReact
Node.jsNode.js
DjangoDjango
FlutterFlutter
BootstrapBootstrap
FastAPIFastAPI
TailwindTailwind
SeleniumSelenium
PostmanPostman

Areas of Expertise

Agentic AI

Building autonomous AI agents that orchestrate tasks, collaborate with humans, and make decisions using LLMs, RAG, and prompt engineering.

Generative AI

Prompt engineering, fine-tuning LLMs (Meta-Llama, GPT), building RAG pipelines with FAISS embeddings, and deploying on serverless GPU infrastructure.

Data Science & Analytics

Statistical modeling, data visualization, BI dashboards, ETL pipelines, and deriving actionable insights from large-scale datasets.

Cloud Architecture

Designing scalable cloud-native systems on AWS, GCP, and Azure. Infrastructure as code with Terraform, container orchestration with Kubernetes.

Full-Stack Development

End-to-end web and mobile applications using React, Node.js, Django, FastAPI, React Native, with CI/CD and Docker deployment.

AI Research

Human-AI collaboration, network security with ML, AI equity across nations, meta-prompt optimization, and reproducible research workflows.

Statistics & ML

Supervised & unsupervised learning, NLP, anomaly detection, time series analysis, A/B testing, and model evaluation at scale.

Cybersecurity & IDS

Network intrusion detection using ML, packet sniffing, anomaly classification, and building the "second line of defense" after firewalls.

Credentials & Certifications

AWS Community Builder

Data Track, Amazon Web Services

Active

AWS Cloud Practitioner

Amazon Web Services

In Progress

Google Cloud Facilitator

Google Cloud Platform

Certified

Postman API Fundamentals

API Development & Testing

Certified

Trinity College London

Piano Grade 3, Distinction

Distinction