RITIK KUMAR

SUMMARY

B.Tech in Information Technology student focused on Machine Learning, Generative AI, software development, and practical product building. Skilled in Python, C++, Pandas, NumPy, Scikit-learn, FastAPI, Flutter, Firebase/Supabase, Git/GitHub, and REST APIs. Built and led development of ReDo Smart Logistics, a logistics platform addressing underutilized truck capacity through smart backhaul and partially loaded front-haul matching. Strong hands-on exposure through hackathons, application development, and team leadership.

TECHNICAL SKILLS

Programming & Scripting: Python, C++, Dart, JavaScript
Machine Learning: Pandas, NumPy, Scikit-learn, Data Preprocessing, EDA, Feature Engineering, Supervised & Unsupervised Learning, Model Evaluation
Generative AI & LLMs: LLM fundamentals, Prompt Engineering, Transformers, Hugging Face, Generative AI concepts
AI Automation & Tools: FastAPI, Pydantic, REST APIs, Node.js
App & Web Development: Flutter, Firebase, Android Development, React, Vite, HTML, CSS, JavaScript
Database & Deployment: Supabase, Firebase, Git/GitHub
Data Visualization: Matplotlib, Seaborn, Plotly

PROJECTS

ReDo Smart Logistics — Smart Backhaul Network 2026

Hackathon Project | Team Leader | Live Web Prototype ↗ · GitHub Repo ↗

Developed a logistics platform connecting customers with truck owners/drivers to utilize unused truck capacity.
Designed the platform for both backhaul trips and partially loaded front-haul journeys to improve vehicle utilization.
Built separate customer and partner workflows covering pickup selection, driver discovery, booking, and delivery management.
Implemented location-based dispatch logic using pickup distance, truck capacity, and driver availability.
Designed time-bound driver offers with Accept/Skip actions and atomic booking confirmation.
Worked across Flutter, backend APIs, Supabase/Firebase, maps/location services, and push notifications.

FocusAI — AI-Based Study Focus Application 2026

Computer Vision / Productivity Project | GitHub Repo ↗

Built a study productivity concept using YOLO-based object detection to detect mobile phone usage during study sessions.
Designed focus timer, real-time alerts, daily reports, focus score, and productivity visualization features.

Attendance Management System 2026

Web Application

Developed a web-based attendance application using React, Vite, and Firebase with cloud-based data management.

HACKATHONS & LEADERSHIP

Smart India Hackathon (SIH) 2026 — ReDo Smart Logistics 2026

Team: The Pandas | ReDo project

Developed and presented ReDo Smart Logistics as the team's solution for improving logistics utilization and reducing empty/underutilized truck journeys.
Contributed to product architecture, application development, backend workflows, presentation, and team coordination.
SIH participation certificate available.

IIIT Delhi — IndustrySolve Idea-Thon & Product-a-Thon 2026

Team Leader | ReDo Smart Logistics

Led the team through product ideation, technical development, pitching, and coordination.
Reached the Top 60 among 132 participating teams.

ISRO Antriksh Hackathon 2026

Team Member | Project Astra

Participated in a team-based space research hackathon and worked on Astra, a technology-driven solution for a space-related problem statement.

EDUCATION

JSS Academy of Technical Education, Noida, Uttar Pradesh 2025–2029

Bachelor of Technology — Information Technology

Relevant focus: Machine Learning, Data Science, Software Development, APIs, and AI applications.

Purnea College, Bihar 2024

Class XII — Bihar Board

CERTIFICATIONS & ACHIEVEMENTS

IBM Certificate: IBM certification/course completion — view certificate ↗.
Smart India Hackathon: Participation certificate — SIH 2026.
IIIT Delhi Idea-Thon & Product-a-Thon 2026: Top 60 among 132 participating teams — view certificate ↗.
Team Leadership: Team Leader for ReDo Smart Logistics project.
ISRO Antriksh Hackathon 2026: Participation in Team Astra — view certificate ↗.
ML Learning: Hands-on learning in Python, NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, and Machine Learning.
IMPERIUM MUN debate: Actively participated in Imperium, the Intra-College Model United Nations organised by Impetus Student Society on 12th September 2026, contributing with conviction to its debate and diplomacy — view certificate ↗.

RELEVANT COURSEWORK / CURRENT LEARNING

Machine Learning: regression, classification, clustering, model evaluation, feature engineering, preprocessing, and EDA.
Backend Development: FastAPI, Pydantic, REST API design, authentication concepts, and database integration.
Generative AI: LLM fundamentals, prompt engineering, Hugging Face ecosystem, and AI application development.
DSA: C++, recursion, backtracking, problem solving, and competitive programming fundamentals.

LEADERSHIP & STRENGTHS

Team leadership and coordination in hackathons and product-development environments.
Problem solving, rapid prototyping, presentation, and converting real-world problems into deployable product concepts.
Hands-on experience working across mobile applications, backend services, databases, APIs, and ML workflows.

LANGUAGES

Hindi: Native | English: Working Proficiency