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Senior Software Engineer @PrecisionIT | Full Stack Developer | AI Enthusiast | Python, Javascript, AWS | Innovating Scalable Solutions | MSCS Graduate from Northeastern University, Boston
I am a passionate and results-driven Software Engineer with over 2 years of experience across all phases of the software development lifecycle. I specialize in designing, developing, and deploying robust, scalable, and efficient software solutions tailored to meet dynamic client needs. My technical expertise spans a versatile tech stack, including Python, Java, JavaScript (React.js), backend frameworks (Node.js, Express, Spring Boot), and a range of DevOps tools like Docker and Kubernetes. I excel in developing RESTful APIs, implementing efficient database solutions (MySQL, PostgreSQL, MongoDB) to ensure seamless integration with modern software architectures. With a strong foundation in cloud technologies, I am proficient in AWS (RDS, EC2, S3, Lambda, EKS), enabling me to design scalable and cost-effective solutions for diverse project requirements. My hands-on experience with Git, GitHub, and CI/CD pipelines ensures smooth collaboration and deployment, driving operational efficiency and consistent delivery. Holding a Master of Science in Computer Science from Northeastern University (GPA: 3.79/4) and a Bachelor of Engineering in Computer Engineering from the University of Mumbai, I bring a strong academic foundation and a proven track record of delivering impactful software projects. I thrive in Agile/Scrum environments, where I apply my skills in SDLC methodologies, TDD, and tools like JUnit and Postman, to ensure the delivery of high-quality solutions. Whether it's developing feature-rich applications or architecting solutions for complex workflows, I am committed to building innovative software that drives business value and customer satisfaction. Please feel free to reach out via DM on LinkedIn. Let’s connect to discuss how I can contribute to your organization's success!
Northeastern University
Master of Science - MS, Computer Science
September 1, 2021 – January 1, 2023
Vidyalankar Institute Of Technology
Bachelor of Engineering - BE, Computer Science
January 1, 2016 – January 1, 2020
Swami Ramkrishna Paramhans Jr. College
HSC, Science
January 1, 2014 – January 1, 2016
Holy Family High School
SSC
January 1, 2004 – January 1, 2014
PrecisionIT
Senior Software Engineer
October 1, 2025 – Present
Norfolk, Nebraska, United States · On-site
PrecisionIT
Software Engineer
December 1, 2024 – October 1, 2025
Norfolk, Nebraska, United States · On-site
Northeastern University
Graduate Teaching Assistant
September 1, 2023 – December 1, 2023
Boston, Massachusetts, United States · On-site
Northeastern University
Proctor at Residential Safety Office
January 1, 2023 – December 1, 2023
Boston, Massachusetts, United States · On-site
Dassault Systèmes
Software Engineer Intern - SolidWorks Visualize R&D team
June 1, 2022 – December 1, 2022
Waltham, Massachusetts, United States
Tata Consultancy Services
Assistant System Engineer
September 1, 2020 – July 1, 2021
Mumbai, Maharashtra, India
Paypoint India Network Private Limited
Internship
July 1, 2019 – August 1, 2019
Mumbai Metropolitan Region
TEDxVIT
Event Coordinator
March 1, 2019 – March 1, 2019
Computer Engineering Students Association, VIT Chapter
General Secretary
July 1, 2018 – June 1, 2019
Mumbai Metropolitan Region
Computer Engineering Students Association, VIT Chapter
Events Team
July 1, 2017 – May 1, 2018
Mumbai Metropolitan Region
Computer Society of India - VIT Student Chapter
Technical Team Member
July 1, 2017 – May 1, 2018
Mumbai Metropolitan Region
PharmaCutieCal - Personalized drug side effects predictor
February 1, 2024 – February 1, 2024
Developed and optimized a machine learning model using Python, predicting drug side effects with an accuracy of 82%, utilizing techniques like feature engineering, hyperparameter tuning, and one hot encoding Integrated ML model seamlessly with a web application built using JavaScript, React, Flask, and MongoDB to provide personalized predictions by analyzing patient’s medical history, enhancing user understanding of medication side effects Problem Statement: Different people taking the same drug can have markedly different responses/side effects to the same dose. Medication history is very important as patients take more and more medications and drug-drug interactions must be avoided. No centralized platform currently to check effect of drugs on patients with similar medical history. Solution and Design: PharmaCutieCal maps real-world data of 250k drugs and patient data to recommend drug impact based on patient’s medical history. It provides substitute drugs and recommendations based on user data. Integrates Random Forest Classification model for real-time predictions.
Twitter Clone
February 1, 2022 – April 1, 2022
Designed and developed a social network called Tuiter using TypeScript, TypeScript, Node.js, Mongo Atlas, React, GIT, JIRA.. Collaborating with a team of 4 members to design and implement features like 3rd party Google Authentication, Admin Tool for monitoring the content posted and Tuiter Boards feature which is similar to Instagram highlights feature. Have daily scrum meetings, weekly sprint meetings and sprint retrospective meetings. REACT repository link - https://github.com/kritikaiyeer/final-project-tuiter-react Node repository link - https://github.com/amarpriyesh/final-project-tuiter-node
Adventure game using MVC design pattern
October 1, 2021 – December 1, 2021
Designed and Implemented an adventure game in Java and Java Swings using the MVC design pattern. The game involves a player navigating through a maze consisting of caves and tunnels which is generated randomly, the parameters of the creation can be provided by the player. The goal of the game is for the player to reach the end cave without getting killed by the monster. The player can also collect treasure present in random caves and can also pickup arrows to kill the monsters.
Grammar Checking and Correction using NLP and Image Processing
December 1, 2019 – April 1, 2020
Designed, implemented a reliable application for scanning of document of text kept on a flat surface, perform processing on text to identify syntax errors, semantical mistakes with more than 85% accuracy. Configured app to suggest correct word or syntax by going through trained data with an accuracy of about 90%, produce corrected document as output. Recommended app to professors to check answer sheets with 45-50% faster speed than manual grading. Published a research paper titled "Application for Grammar Checking and Correction" in the International Research Journal of Engineering and Technology (IRJET) in June 2020.
Master of Science in Computer Science
Khoury College of Computer Sciences
June 23, 2026 – Present
C# Essential Training 2: Generics, Collections, and LINQ
June 23, 2026 – Present
Async Programming in C#
June 23, 2026 – Present
C#: Delegates, Events and Lambdas (2015)
June 23, 2026 – Present
C# Essential Training 1: Syntax and Object Oriented Programming
Linkedin Learning
June 23, 2026 – Present
Python Data Structures
Coursera
June 23, 2026 – Present
Programming for Everybody ( Getting started with Python )
Coursera
June 23, 2026 – Present
Modern Natural Language Processing in Python
Udemy
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from machine learning applications to web development and adventure games, indicates a broad interest in computer science domains. The experience as a Graduate Teaching Assistant and involvement in student associations suggests a proactive and collaborative mindset. However, the target role is 'Frontend Developer', and while there is relevant frontend experience (React, JavaScript, TypeScript), some projects lean heavily into backend, ML, or desktop application development, which might indicate a broader interest rather than a focused passion for frontend. The recent experience at PrecisionIT is not detailed, making it difficult to assess current role alignment.
Soft Skills & Operational Fit
The candidate demonstrates strong teamwork and leadership skills through various academic and extracurricular roles (Graduate Teaching Assistant, General Secretary, Event Coordinator). Their experience in a teaching assistant role suggests good communication and mentoring abilities. The project descriptions indicate an ability to collaborate in a team setting and manage project timelines. However, without psychometric test results, a comprehensive assessment of work attitude, stress handling, and team collaboration is limited.