Jess John
Software Engineer

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About Me

jess

Energetic, Instinctive & Curious

A passionate computer engineering graduate with affinity towards development and programming and working dominantly on ERP systems and Web Technologies.

  • > Degree: Bachelor of Engineering, Computer Enginering [8.7 CGPA (Agg.)]
    University of Mumbai (2021-2025)
  • > City: Mumbai, India
  • > Email: jessjohn1539@gmail.com

My Technical Skills Include:

  • Languages: Python, JavaScript, HTML5, CSS3, SQL
  • Frameworks: Frappe, ERPNext, Astro.js, Bootstrap, TailwindCSS
  • Tools: VS code, Git/Github, Figma.
  • Check My Resume

    Work Experience

    Lytus Digital

    Software Engineer (Jun 2025 – Present)
    • Built and customized ERP and e-commerce solutions on Frappe/ERPNext
    • Designed and implemented Authorize.Net payment workflows, including card payments, Google Pay, Apple Pay and PayPal
    • Developed a Email Thread view in ERPNext with reply, forward, search, and read tracking.
    • Built customer portals, dealer onboarding, checkout flows, and order tracking workflows.
    • Built reusable email templates, print formats, and workflow automations across ERP processes.
    • Led migration of 1.3 TB Google Workspace data and 225k+ emails into internal systems.
    • Referred candidates and supported their onboarding through technical guidance and knowledge sharing

    Lytus Technologies - (NASDAQ: LYT)

    Software Engineer Intern (Dec 2024 – May 2025)
    • Responsible for orchestrating multiple websites for Lytus subsidiaries and acquired companies.
    • Developed Lytus Technologies’ Investor Relations website using Frappe, driving a $12.01M revenue increase (+24%).
    • Migrated the static landing site to a dynamic Frappe app
    • Implemented self-hosted Umami analytics, enhancing functionality and saving approx. $100k annually.

    SAKHYA - WOMEN'S GUIDANCE CELL

    Website Developer Intern (Nov 2023 – March 2024)
    • Designed, developed and deployed official Website for Sakhya-Women’s Guidance Cell, a NGO based in Vasai, Maharashtra.
    • Led the team of 4 members.
    • Designed the website layout in Figma, ensuring a promising user interface (UI).
    • Utilised AstroJS framework to facilitate the development of the website.
    • Technologies: AstroJS, TailwindCSS, Netlify.

    SACRED HEART SCHOOL, KALYAN

    Website Developer Intern (Dec 2023 – March 2024)
    • Official Website for Sacred Heart School, Kalyan.
    • Developed, Designed and Deployed the website along with the team of 6 members.
    • Technologies: HTML, CSS, AstroJS, TailwindCSS, Netlify.

    Education

    Bachelor Engineering - Computer Engineering [8.7 CGPA]

    Don Bosco Institute of Technology
    University of Mumbai(2021-25)
    • Google Student Developer Club(GDSC) - App Expert(2023-24)
    • Social Innovation for Environment(SIE) - Technical Head(2023-24)
    • Association of Computing Machinery(ACM) - Technical Team Member(2022-23)
    • Teknack Gaming Studio - Developer & Mentor(2022-24)
    • Volunteered technical training sessions, talks and workshops on various tools, technologies and softwares for the students of DBIT.

    Projects

    ArgMed-Agents: Explainable Clinical Decision Reasoning with LLM via Argumentation Schemes

    Agentic AI & Natural Language Processing
    • Developed a multi-agent argumentation framework integrating LLMs with medical knowledge to enhance transparency and trust in AI-driven clinical decision-making.
    • Solved the typical 'black box' problem faced by traditional Clinical Decision Support Systems by introducing Explainable AI (XAI).
    • Role of Agents: Generator agents propose arguments, Verifier agents evaluate them through probing questions, and Reasoner agents synthesize coherent and plausible decisions.
    • Tested the framework on clinical scenarios, achieving correct diagnoses in cases where domain-specific knowledge was sufficient, highlighting its potential to enhance decision accuracy and clinician trust.

    [Github]

    Computer Vision Model for Lung Cancer Detection using Biopsy Images

    Artificial Intelligence & Machine Learning
    • Developed a computer vision model utilizing TensorFlow and EfficientNet to distinguish between Adenocarcinoma and Squamous cell carcinoma in histopathological biopsy lung images.
    • Utilized a pre-trained EfficientNet model.
    • Incorporated a GUI.
    • Visualized predictions and evaluation metrics.
    • Technologies: Python, Tensorflow, Keras, CNN

    [Github]

    Google Maps Lead Scraper

    Web scraping & Automation
    • Developed a Lead Scraper to automate lead generation, extracting business details with CSV export, enhancing efficiency and accuracy in lead collection for business sales teams.
    • Technologies: Selenium, Streamlit

    ResumeWorth - An AI-powered Resume Market Value Estimator

    Artificial Intelligence & Natural Language Processing
    • Developed an AI-powered tool that estimates resume market value in INR, leveraging Google's Generative AI for detailed resume analysis and personalised insights.
    • Technologies: Streamlit, PyPDF2, Google Generative AI.

    ResumeATS - AI based Application Tracker System

    Artificial Intelligence & Natural Language Processing
    • Built a Streamlit app to optimize resumes for ATS, offering match scores, keyword analysis, and improvement suggestions.
    • Technologies: Streamlit, PyPDF2, Google Generative AI.

    CIRCLE SMASH

    Mobile Game Development
    • Designed and Developed a 2D mobile game using Unity Engine.
    • Won the 'Best Game Concept' award at Teknack 2024.
    • Circle Smash has 160+ downloads and 4.9/5 user rating on Play Store.
    • Technologies: Unity, C#, Adobe Illustrator

    DUNK IT

    Mobile Game Development
    • Designed and Developed a 2D mobile game using Unity Engine.
    • It has 160+ downloads and 4.6/5 user rating on Play Store.
    • Technologies: Unity, C#, Adobe Illustrator

    REDLIFE - A BLOOD BANK MANAGEMENT SYSTEM

    Website Development
    • A system that enables blood donors and blood banks to register and log in to the system.
    • It allows donors to use the Google Maps API and open-source geocoding API to locate nearby blood banks.
    • Technologies: HTML, CSS, JavaScript, NodeJS, ExpressJS, Express-Handlebars, MySQL

    [Github]

    Contact Me

    Currently open to new opportunities.

    Whether you have a question or just want to say hi, I'll try my best to get back to you!