14 May, 2026
Successfully graduated with a Master of Science in Computer Science from New York University. Advanced coursework completed in Machine Learning, Deep Learning, Algorithms, Big Data and Software Development.
Hi, I'm Omkar Waikar!
Full Stack Software Engineer
I am a Master of Science graduate in Computer Science from New York University and a Full Stack Developer with over three years of industry experience. I focus on designing scalable systems and building data driven applications that help to solve complex real world problems.
About Me
My Introduction
I am a developer who believes that great software is defined by its scalability and its ability to solve real world problems autonomously. My experience ranges from modernizing Java based financial systems to deploying AI powered microservices in containerized environments. As an Oracle Certified Java Developer, I bring a professional approach to building enterprise grade backend architectures.
My technical toolkit is diverse, ranging from Spring Boot and FastAPI on the backend to React and AngularJS on the frontend, all supported by a strong foundation in Kubernetes and AWS. I have implemented RAG based AI solutions to automate knowledge retrieval, and my recent projects demonstrate my ability to architect Kafka driven streaming pipelines. My goal is to build the next generation of data intensive applications that are not only robust but also provide a seamless real time user experience.
03+
Years of
experience
experience
25+
Completed
projects
projects
04+
Companies
worked
worked
Skills
My Technical ProficiencyProgramming Languages
Python
90%Java
95%C/C++
70%JavaScript
90%TypeScript
80%SQL
95%ML & AI
PyTorch
90%TensorFlow
80%Scikit-learn
80%Pandas
90%Keras
70%NumPy
90%SciPy
80%spaCy
70%Frontend Development
HTML
100%CSS
90%React
85%Angular
80%Vue.js
70%Next.js
70%Backend Development
Spring Boot
100%JPA
95%REST API
95%FastAPI
90%Django
90%Flask
65%Node.js
80%Databases
MySQL
95%PostgreSQL
90%MongoDB
80%Redis
70%Oracle
95%Cloud & Infrastructure
AWS
90%Kubernetes
75%Docker
90%Kafka
85%Development Tools
Git
90%Azure
70%Jenkins
95%CI/CD
90%OpenCV
70%Grafana
70%Prometheus
70%Experience
My Professional & Educational JourneyMaster of Science in Computer Science
New York University
Sep 2024 - May 2026
Bachelor of Engineering in Computer Engineering
Mumbai University
Aug 2016 - Nov 2020
Science and Information Technology
DY Patil
May 2014 - Feb 2016
Central Board of Secondary Education
Apeejay Satya Group
Sep 2012 - Mar 2014
Associate Consultant
Kiya.ai, Mumbai
Apr 2024 - Jul 2024
Software Engineer
LTIMindtree, Mumbai
Jan 2022 - Jan 2024
Web Development Intern
Media Nucleus, Mumbai
Jun 2019 - Jul 2019
Portfolio
My Most Recent Works
FlowSight Collision and Traffic Prediction
FlowSight is a real time big data platform for NYC traffic and collision forecasting and prediction. It uses Apache Kafka and MongoDB to ingest high velocity data from Socrata APIs without loss. A distributed engine built with Dask and Scikit learn uses spatial indexing to align collision records with traffic speeds. The React dashboard communicates with a Flask API to visualize congestion heatmaps. Infrastructure resilience is ensured via Docker containerization.
Github Repo Link
Deepfake Detection
This multimodal AI platform identifies manipulated media in image, audio and video formats using PyTorch and TensorFlow. Built with Django, the app integrates MTCNN for facial extraction and Librosa for audio spectrograms. The system includes secure authentication and a scalable architecture for multimedia uploads. The frontend delivers real time results and confidence scores, providing a seamless interface for verifying media authenticity. The system is deployed on AWS.
Github Repo Link
NYC Transit Hub
The NYC Transit Hub is a real time visualization platform built with Nextjs and TypeScript. It integrates MTA GTFS APIs to stream live arrival estimates with an automated 30 second refresh cycle. Users navigate the network via an interactive map powered by Mapbox GL JS. The interface features train line filtering and a responsive dashboard styled with Tailwind CSS.
Website Link
Plant Disease Detection and Autonomous Irrigation Mobile Application
The IoT and machine learning solution optimizes efficiency for farmers by detecting diseases and automating irrigation. Engineered an automated irrigation system using NodeMCU and sensors to monitor soil moisture. A recommendation engine uses Random Forest and KNN algorithms to analyze soil nutrients and climate factors. The Flutter application connects to a Firebase database for remote irrigation control. Research findings were published in the International Journal of Advanced Research in Science Communication and Technology.
Research Paper Link
InnSight Hotel Management System
InnSight is a hotel management solution built with Nextjs and React. It features a dual portal for guest bookings and admin analytics. The PostgreSQL backend uses triggers and stored procedures to ensure atomic transactions and prevent scheduling conflicts. The system manages a multiple entities like rooms, bookings, guests, payments, etc and is deployed on Render. Security includes Role Based Access Control and Zod validation to protect data integrity.
Website Link
Blog
My Recent Updates12 March, 2026
Launched InnSight a hotel management solution built with NextJS and React. Engineered a dual portal for guest bookings and admin analytics utilizing a PostgreSQL backend with triggers and stored procedures to ensure atomic transactions and prevent scheduling conflicts.
21 February, 2026
Secured 1st Place in the NYU University Wide Leetcode Bootcamp Challenge, competing against over 100 graduate students. Simultaneously launched the MTA Transit Hub a real-time visualization platform for NYC subway data and GTFS feeds.
09 December, 2025
Completed FlowSight architecting a Kafka driven streaming pipeline to predict NYC traffic collisions with 85% accuracy. Presented the system architecture to faculty and received exceptional feedback on the distributed data handling.
07 November, 2025
We gave a presentation on recommendation systems.
03 October, 2025
Developed a cloud hosted Deepfake Detection System on AWS, utilizing PyTorch and TensorFlow for realtime media verification with 93% accuracy. Applauded during presentation for the innovative use of model confidence scores.
07 June, 2025
Shipped a new portfolio refresh and improved performance across the site.
31 July, 2024
Concluded tenure at Kiya.ai after implementing a RAG based AI chatbot that reduced support ticket volume by 45%. Optimized LLM inference by implementing model quantization within Docker containers increasing system throughput by 33% for sensitive banking tools.
31 January, 2024
Finalized the modernization of legacy SOAP architectures into RESTful APIs at LTIMindtree with a zero production rollback record. Revamped database architecture by optimizing complex SQL queries achieving a 40% decrease in execution time and doubling concurrent user capacity.
10 March, 2022
Achieved certification - Oracle Certified Professional: Java SE 11 Developer.
15 October, 2020
Graduated with a Bachelor of Engineering in Computer Engineering from the University of Mumbai.
30 April, 2020
Co authored and published research on a Smart Agriculture System in the International Journal of Engineering Research & Technology (IRJET) focusing on CNN based crop disease detection.
25 March, 2018
Achieved a historic triple consecutive 1st Place win (2016, 2017, 2018) at the Annual College Software Project Competition recognized for excellence in innovative software design and engineering.