Vedant Chichmalkar
Senior Undergraduate                                                                          vedant.chichmalkar@iitgn.ac.in
Dual Major in Computer Science Engineering and Chemical Engineering                                          +91 8459824485
Indian Institute of Technology, Gandhinagar                                                               LinkedIn | Github
ACADEMIC DETAILS
Degree      Specialization                       Institute                                       Year              CPI/%
B.Tech.     Computer Science                     Indian Institute of Technology, Gandhinagar     2022-Present      8.13
Class XII   Physics, Chemistry, Maths            MKH Sanchetti Public School                     2021-22           94.8
Class X                                          NEERI Modern School                             2019-20           95.6
 PROJECTS
• Employee Management System (Full Stack)                                                                     [Jun’25 - Jul’25]
  (Java Spring Boot, React.js) | Project Link
     ◦ Built a comprehensive employee management system with CRUD capabilities using Java Spring Boot, RESTful APIs,
        and MySQL to manage structured employee data and support reliable, persistent backend storage operations.
     ◦ Designed a layered backend architecture where REST Controllers managed HTTP requests, the Service layer encap-
        sulated core logic, and the DAO layer handled database communication ensuring modular separation of concerns.
     ◦ Implemented well-structured and secured API endpoints to enable employee creation, update, deletion, and re-
        trieval, achieving smooth backend performance and maintainable data flow across all operations.
     ◦ Integrated React frontend with Spring Boot backend via Axios, configuring development proxies to resolve CORS
        issues and ensure seamless API communication and efficient local testing.
• Real-Time Code Collaboration Platform                                                                     [May’24 - Jun’24]
  (React.js, Responsive Web Design) | Project Link
     ◦ Built a collaborative online code editor supporting real-time editing via React, Node.js, Express, and WebSockets.
     ◦ Enabled real-time multi-user collaboration using room-based sessions and socket messaging to sync code changes.
     ◦ Added essential features like live code updates, syntax highlighting, and session-based state management logic.
     ◦ Used Vercel for frontend deployment and Render for backend, optimizing for low latency and scalable performance.
• Perplexity analysis on Language models                                                                    [Sep’23 - Nov’23]
  (Advisor-Prof. Mayank Singh) | Project Link
     ◦ Engineered Unigram, Bigram, Trigram, and Quadgram language models by implementing core Natural language
        processing (NLP) algorithms, leveraging language modeling principles and probability-based text generation.
     ◦ Applied Laplace smoothing techniques to improve model perplexity scores and achieve more accurate predictions.
     ◦ Attained competitive perplexity scores on the test set, showcasing the effectiveness of trained language models
     ◦ Utilized Python to build, optimize, and evaluate Unigram to Quadgram language models with smoothing tech-
        niques, enhancing proficiency in text processing, probabilistic modeling, and statistical NLP workflows.
• Equity Research Report: TATA Chemicals                                                                   [Apr’24 – May’24]
     ◦ Analyzed financial statements, balance sheets, and cash flows using valuation frameworks and forecasting tools.
     ◦ Reviewed earnings calls and credit reports to assess performance, risk factors, and corporate management insights.
     ◦ Used SWOT and PESTLE methods to evaluate competition, external risks, and strategic positioning in the industry.
     ◦ Compiled a report outlining findings and strategic suggestions to improve investor appeal and financial standing.
• Inter-IIT Sports Meet Website                                                                             [Nov’23 - Dec’23]
  (React.js, Responsive Web Design) | Project Link
     ◦ Designed a responsive, dynamic website using React for the 56th Inter-IIT Sports Meet with modern tech stacks.
     ◦ Built modules to display event results, schedules, and medal stats with improved data access for all users.
     ◦ Ensured consistent layout across devices with CSS Flexbox and responsive media queries for all screen sizes.
     ◦ Deployed and maintained the live-hosted website with real-time data sync as part of a 3-member tech team.
ACCOMPLISHMENTS
• Successfully assisted two startups by developing comprehensive financial models and P&L projections, enabling data-
  driven decision-making and investor readiness.
• Maintained a consistent 3-month coding streak with a LeetCode rating of 1650, strengthening algorithmic thinking and
  problem-solving across platforms like GeeksforGeeks and Codeforces.
TECHNICAL SKILLS
• Languages: Python*, C++, HTML, CSS, JavaScript, SQL
• Frameworks/Tools: ReactJS*, NodeJS*, ExpressJS*, Socket.IO*, GitHub
POSITIONS OF RESPONSIBILITY
• Senior Outreach Executive, TedxIITGandhinagar
    ◦ Devised outreach strategies to amplify the promotion of TedxIITGandhinagar across campuses. Executed targeted
      online and offline engagement campaigns, including social media management and content-driven outreach.
• Senior Sponsorship Executive, Blithchron IIT Gandhinagar
    ◦ Negotiated sponsorships with government and private companies to orchestrate the planning, execution, and deliv-
      ery of Blithchron, one of the biggest cultural fest of Gujarat. Raised over 20L for the same.
• Member, Alumni Relations Office, IIT Gandhinagar
    ◦ Coordinated outreach and communication with 1,000+ alumni, managing relationships and engagement strategy.