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My OS: COMPUTER SCIENCE |  Status: 

From code to research to patents — a journey to craft technology with vision and purpose.

My Journey

2011

Inspired by my mom (CS graduate), curiosity for how machines ‘think’ began.

2018

Built my first X/O game in plain Python — no libraries, fully hard-coded.

2021

10th grade milestone — 97.2% (School Rank 4, BVB School).

2022

Fascinated by ML/DL/GenAI. Conducted a Blockchain workshop for 90+ peers @ School.

2023

12th topper in Mathematics (99%). Earned PCEP & PCAP certifications.

2024

Earned my first AWS Certification (Cloud Practitioner). First high-impact journal paper accepted (Elsevier, IF 7.9) — 11 global citations.

2025

Python Developer Intern at KRG Technologies Inc. — LLM + OCR powered resume parsing system.

Future

Next: Shaping technology that is powerful, ethical, and built to serve people at scale.

Quick Stats

8+

Years Coding

6+

Projects

5

Research Publications

2

Patents Published

3

Languages Spoken


Building with purpose – scaling with vision.
Technology means nothing unless it serves people.





Hobbies

Meditation

Meditation

Helps me in practicing focus, clarity, and calm to handle complex challenges.

Business Case Studies

Business Case Studies

Studying Amazon, TATA, Huawei, Tesla, and Nokia - "THE" ultimate learning experience.

World Politics

World Politics

G7, BRICS, Quad, ASEAN, G20 — fights, mockery, endless drama… who could resist?

Analytical Play

Analytical Play 0Analytical Play 1

Chess and Sudoku: the ultimate brain fuel - Up for a play anytime. Playing since age 6.




Achievements

📑

1

High Impact Journal

Impact Factor 7.9, cited across Saudi Arabia, Hungary, Botswana, Malaysia, China, and India
💡

2

Published Patents

4 more in filing (AI, IoT, Self-care)
🌍

4

Other Publications

3 International Conferences and IGI Global

7+

Hackathons

Top 14 finish in one



Experience

KRG Technologies Inc.

Python Developer Intern

KRG Technologies Inc. · Internship

Jun 2025 – Jul 2025 · Chennai, India (On-site)

Contributed to an intelligent resume parsing platform leveraging LLMs and OCR to extract, structure, and match candidate data at scale.

  • Designed and implemented scalable backend APIs using Python, Flask, and SQLite.
  • Integrated LLMs to transform unstructured resumes into structured, queryable data.
  • Supported OCR pipeline for parsing scanned resumes, enhancing data accuracy.
  • Improved candidate filtering & ranking features, reducing manual screening effort by 95%.
VIT Chennai

Summer Research Intern

VIT Chennai · Internship

May 2025 – Jul 2025 · Chennai, India (Hybrid)

Worked on a speech emotion recognition system for remote learning, focusing on cross-corpus generalization, noise robustness, and lightweight deployment.

  • Integrated benchmark datasets (RAVDESS, CREMA-D, TESS, SAVEE) into a unified seven-emotion corpus.
  • Designed a 1D CNN (~7.2M params, ~82MB) optimized for real-time inference with low memory footprint.
  • Applied augmentation (Gaussian noise, pitch shifting) to improve noise resilience in real-world audio.
  • Achieved +5% improvement in cross-corpus accuracy via fine-tuning, enabling privacy-friendly e-learning use cases.



Skills and Expertise

Programming & Web Development
Python 3.xJavaCcppMySQLSQLiteHTML5CSS3JavaScriptNode.jsReactFlaskSpringBootstrap
Machine Learning & Deep Learning
TensorFlowPyTorchKerasScikit-learnPandasNumPyHugging Face Transformers
Data Analytics & Visualization
Power BIExcelMatplotlibSeabornPlotly
Cloud & Tools
AWS (EC2, S3, Lambda)DockerGitGitHubJupyter NotebookTesseract OCRLibrosa

Soft Skills

Problem-SolvingCritical ThinkingResearch-Oriented ApproachCommunicationTeam CollaborationLeadershipMentorship



Publications

Journal PaperEnsemble deep learning model for protein secondary structure prediction using NLP metrics and explainable AI
Dec 2024Elsevier – Results in EngineeringImpact Factor 7.911 Citations

An ensemble DL model outperforming individual models for protein secondary structure prediction, achieving 94.41% accuracy.

Gokul Ram K, Dr. Parvathi R, Dr. Vignesh U

Conference PaperEnhancing Sentiment Analysis of Customer Reviews Using Deep Learning, Data Augmentation and Explainable AI
Oct 2024IEEE – 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS)

Proposes a deep learning framework for sentiment analysis with data augmentation and LIME-based explainability.

Gokul Ram K, Dr. Rajakumar R, Dr. Ilavendhan A, Dr. Padmanaban R, Dr. Vijayaprabakaran K

Conference PaperOptimization of Cloud based Monitoring Application in Software Engineering
Sep 2024IEEE – 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS)

Focuses on cloud-based observability, testing, and deployment strategies to enhance software engineering practices.

Dr. Vignesh U, Dr. Monica K M, Gokul Ram K, Ghaayathri Devi K

Book ChapterOptimizing Resource Management With Edge and Network Processing for Disaster Response Using Insect Robot Swarms
2025IGI Global – Exploring the Micro World of Robotics Through Insect Robots

Explores edge and network processing with insect robot swarms for real-time disaster response and efficient resource management.

Gokul Ram K, Dr. Vignesh U, Dr. Abdulkareem Sh. Mahdi Al-Obaidi

Book ChapterData analysis of female education in the age of COVID-19: A comprehensive review
2025CRC Press – Progressive Computational Intelligence, Information Technology and Networking

Examines the impact of COVID-19 on female education, highlighting e-learning, academic motivation, and mental health challenges.

Dr. Vignesh U, Gokul Ram K, Dr. Monica K M




Patents

AgricultureAI/MLIoTCloud Computing

ARTIFICIAL INTELLIGENCE (AI) BASED SMART IRRIGATION CONTROLLER SYSTEM AND METHOD

Application No: 202541038729Status: IssuedIssued on May 16, 2025
Affective ComputingHealthcareEmbedded SystemsHCI

A SYSTEM AND METHOD FOR EMOTIONS READING PROVIDING PATH FOR SELF-CARE

Application No: 202441052499Status: IssuedIssued on Jul 9, 2024



Projects

Deep LearningComputer Vision

DeepShield: Deepfake Video Detection using Vision Transformer (ViT)

Mar 2025 – Apr 2025

  • Achieved 87.77% validation accuracy using Vision Transformer (ViT).
  • Preprocessed 400+ videos into frame-level datasets.
  • Built a Flask app for real-time deepfake detection with performance visualization.
techtechtechtech
Legal AIRAGConversational AI

SamvidhaanAI: A Legal Companion Chatbot using RAG and Gemini AI

Feb 2025 – Apr 2025

  • Built a legal chatbot using Retrieval-Augmented Generation (RAG) with Gemini LLM.
  • Designed fast document retrieval with LangChain + ChromaDB.
  • Deployed a Streamlit app for real-time legal query handling.
techtechtechtech
AI for AgricultureMachine LearningWeb Development

AgroAI: AI-Powered Plant Disease Detection Web App

Aug 2024 – Sep 2024

  • Built TensorFlow-based plant disease detection achieving high accuracy.
  • Integrated Gemini AI for human-readable disease insights.
  • Developed a responsive Flask web app with Bootstrap frontend.
techtechtechtechtechtech
IoTEmbedded SystemsSmart GridSecurity

Smart Phase Balancing System (SIH 2025)

Sep 2025 – Nov 2025

  • National Finalist (PS: 25064) & Top 30 Hardware Team at VIT Chennai.
  • Engineered a self-healing Hybrid IoT grid using Raspberry Pi, LoRa, and Kafka.
  • Implemented end-to-end TLS encryption and real-time dashboard visualization.
techtechtechtech







🔒 Secret Project

🔐

Coming soon — a personal assistant application for every student’s life.







Let’s build something impactful together.