Abhishek Shrivastav

Aspiring Software Developer ·2x Hackathon Winner

Iamapre-finalyearComputerSciencemajorstudentatSrinivasInstituteofTechnology,Mangalore,withastrongpassionforbuildingimpactfulandmeaningfulsolutions.Myinterestslieinfull-stackdevelopment,mobileapplicationdevelopment,MachineLearning,DataScience,andArtificialIntelligence,whereIfocusonapplyingengineeringprinciplestosolvereal-worldproblemsinapracticalandscalablemanner.

I have secured first place at a national-level hackathon, served as the Joint Technical Coordinator at ASCEE, and actively contributed to open-source initiatives through GirlScript Summer of Code. I continuously develop mobile applications, web platforms, and data pipelines to strengthen my technical expertise and drive continuous learning.

Experience

ASCEE

Oct 2025 - Present

Joint Technical Coordinator

Actively coordinated and volunteered in various technical and cultural events, managing event planning, technical setups, registrations, and on-site support. Worked closely with teams to ensure smooth execution, while strengthening my leadership, communication, and problem-solving skills.

SSOSC (Srinivas Student Open Source Club)

Jun 2025 - Present

Web Team

Actively participated in both technical and non-technical events while consistently supporting team members in completing tasks and achieving project goal.

Girlscript Summer of Code (GSSoC '25)

Sept 2025- Nov 2025

Tech Contributor

Collaborating with peers to build and improve real-world open-source projects through feature development, issue resolution, and teamwork , working closely with a diverse team to deliver production-level features, refine existing modules, and actively participate in collaborative open-source development.

Codsoft

Aug 2025-Sept 2025

Data Science Intern

I worked extensively with Machine Learning and Deep Learning techniques. I successfully completed four key projects: Credit Card Fraud Detection, Iris Flower Classification, Movie Rating Prediction, and Titanic Survival Analysis. These projects involved data preprocessing, model development, performance evaluation, and deriving insights to address real-world problems.

Projects

A collection of projects showcasing my skills in software development, problem-solving, and technical expertise.

AI-powered Customer Review Intelligence

React Native · Python · FastAPI · C++ · Groq · Twilio · Supabase

Developed an AI-powered Customer Review Intelligence platform that analyzes product reviews and generates intelligent responses using a Groq LLM. The system processes reviews via SMS using Twilio, analyzes sentiment and intent using a custom C++ model, and generates context-aware replies via FastAPI. Review data is securely stored and managed in a Supabase database, providing businesses with automated customer engagement and insights.

→ Successfully processed 1000+ reviews with 95% accuracy in sentiment analysis Reduced manual response time by 80% through AI automation Enabled real-time customer engagement and improved response rates by 60% with automated replies

View Project→

Spotify Modern Data Stack Project

Python · SQL · dbt · Airflow · Snowflake · Tableau

Built an end-to-end real-time data pipeline for Spotify analytics using a modern data stack. Simulated streaming data was processed through Kafka → Snowflake → DBT → Power BI, enabling automated ingestion, transformation, and visualization. Designed a Medallion Architecture (Bronze → Silver → Gold) and orchestrated workflows using Apache Airflow, with full system deployment via Docker.

→ Enabled real-time analytics on streaming data Reduced manual processing with a fully automated pipeline Delivered insights on user behavior, regional trends, and device usage through interactive dashboards

View Project→

K-Mate(Leaf disease detection)

Kotlin · Jetpack Compose · Firebase · MVVM-Architecture · Weather API

Farmers often struggle with low crop yields due to missing weather updates, late disease detection, and limited guidance on suitable crops. Expert support is not always available, especially in rural areas. This project addresses these challenges with a mobile app that provides real-time weather insights, AI-based disease detection from images, and smart crop suggestions to support better farming decisions..

→ The system enables users to capture crop images through the smartphone camera, which are analyzed using a deep learning model to identify diseases and recommend appropriate treatments. The application also provides weather-based crop suggestions and an intuitive interface introducing major crop categories and common diseases. By integrating environmental data with image-driven diagnostics, the solution aims to enhance decision-making, reduce crop losses, and improve overall farm productivity.

View Project→

Tools & Technologies

Web Technology

HTML5

CSS

React

Node.js

Express.js

Tailwind

JavaScript

Python

Java

Kotlin

Jetpack Compose

MongoDB

MySQL

PostgreSQL

Firebase

Git

GitHub

Docker

Netlify

Vercel

HTML5

CSS

React

Node.js

Express.js

Tailwind

JavaScript

Python

Java

Kotlin

Jetpack Compose

MongoDB

MySQL

PostgreSQL

Firebase

Git

GitHub

Docker

Netlify

Vercel

Education

Srinivas Institute of Technology, Mangalore

2023 - Present

Bachelor of Engineering in Computer Science & Engineering

Focused on software development, algorithms, and data structures. Active member of SSOSC (Srinivas Student Open Source Club) and ASCEE (Joint Technical Coordinator), demonstrating leadership and event management skills. Secured First Place at a National-level Hackathon and participated in various technical and non-technical events, winning two First Prizes in non-technical competitions.

Grade: 8.02 Current CGPA

Sri Chaitanya PU College

2021-2023

Pre-University College

I have actively participated in various sports, building strong teamwork, discipline, and leadership skills. Along with this, I've developed a solid foundation in academic and cultural activities, helping me grow both personally and professionally.

Grade: 7. 80 GPA

Sri Chaitanya Techno School

2021

High School

I actively participated in academics as well as sports. During my time there, I have secured first place in football and cricket, and achieving outstanding performance in shot-put, where I earned first place twice and second place once in inter-school competitions. These accomplishments strengthened my teamwork, leadership, and discipline while showcasing my commitment to excellence both inside and outside the classroom.

Grade: 7. 70 GPA

Awards & Certifications

Credentials & course completions — verified achievements.

Contact me

abhisheksit27@gmail.com