Viknesh Rajaramon

My Portfolio

Tempe, Arizona, USA        Contact        Resume

As a CS grad student at Arizona State University (ASU) , I am passionate about solving complex challenges with innovative solutions. I am an apsiring data analyst and software developer actively seeking internships and full-time roles for Summer 2025. I worked at Factors.AI , Bangalore, India as a Software Engineer. I love to code and solve algorithmic challenges. I am always ready to have new experiences, meet new people and learn new things. I find the idea of creating value for people and impacting the world through my work gratifying.


Education

Arizona State University - Tempe, USA

Master of Science, Computer Science
CGPA: 3.93/4.00
Courses: Topics in Natural Language Processing, Statistical Machine Learning, Data Mining, Data Processing at Scale, Foundations of Algorithms, Software Security, Applied Cryptography, Software Design, Advanced Operating Systems
August 2023 - Present
ASU

IIITDM Kancheepuram - Chennai, India

Bachelor of Technology, Computer Science & Engineering
CGPA: 8.88/10.00
Research: A Multi-Start Iterated Local Search Algorithm for Bottleneck Traveling Salesman Problem
Supervisor: Dr. Pandiri Venkatesh
Courses: Design and Analysis of Algorithms, Advanced Data Structures and Algorithms, Discrete Mathematics, Linear Algebra, Probability Theory, Analytics and Systems of Big Data, Pattern Recognition, Operating Systems, Database Systems, Computer Architecture, Embedded Systems
July 2018 - May 2022
IIITDM

Skillset

Programming Languages

Python Golang C++ C

Tools and Libraries

Matplotlib Numpy Pandas Git GitHub SingleStore PostgreSQL MySQL Quicksight Power BI GCP Visual Studio Code

Experience

Meddsoft UK Limited - London, United Kingdom

Machine Learning Intern
  • Developed a PyTorch model for diabetic retinopathy detection from fundus images, achieving high classification accuracy with CNN-based feature extraction.
  • Built a real-time image upload and result display interface using Flask, HTML, CSS, and JavaScript, delivering results in 6 seconds per image
  • Enhanced model input quality and prediction accuracy through advanced preprocessing (blood vessel detection, exudate extraction) using OpenCV and PIL and optimized training pipelines with custom augmentation and early stopping strategies.
May 2024 - August 2024
Meddsoft

Factors.AI - Bangalore, India

Software Engineer
Responsible for developing solutions to optimize existing pipelines and develop new features for enhanced real-time marketing analytics. Role included assessments, solutions, testing, and implementation.
  • Built the Salesforce Tasks and Events pipeline for funnel analytics and reporting in Go utilizing Salesforce APIs and SOQL queries
  • Built modules in Python to overcome data pull limits of Hubspot APIs by deploying the newer API versions and prevent data lag to clients
  • Optimized algorithms for real time marketing analytics by removing redundant and unwanted database query calls, reduced the response time for real time marketing analytics by 25%
  • Responsible for identifying and resolving issues by viewing logs in Google Cloud Cron Jobs for Salesforce and Hubspot data pull and enrichment pipelines
May 2022 - July 2023
Factors.AI

IViewSense Private Limited - Chennai, India

Data Analyst Intern
  • Created a Business Intelligence report for a shipping logistics company in Amazon QuickSight, cut down costs by 20% and enhanced efficiency of document processing by 30%
  • Integrated data from various sources onto a single BI report, provided insights into various KPIs thereby improving productivity by 45%
  • Identified and implemented updated client requirements during client meetings to improve client service efficiency by 35%
May 2021 - October 2021
Iviewsense

Projects

Stock Price Forecasting

Viknesh Rajaramon

Indian Institute of Information Technology

Traffic Sign Classification System

R Shreja, Rithic Kumar, Shresta M, Sreedhar Arumugam, Viknesh Rajaramon

Indian Institute of Information Technology

File Transfer System

Viknesh Rajaramon, Bavesh Balaji, B Vignesh, D Balajee, Sreedhar Arumugam, Pratyush V M

Indian Institute of Information Technology

Attendance Management System

Sreedhar Arumugam, Pratyush V M, Bavesh Balaji, B Vignesh, D Balajee, Viknesh Rajaramon

Indian Institute of Information Technology


Publications

A Multi-Start Iterated Local Search Algorithm for the Bottleneck Traveling Salesman Problem

Viknesh Rajaramon, Venkatesh Pandiri

IEEE 19th India Council International Conference (INDICON) 2022
Bachelor's Thesis 2022

Activities

Computer Science Club - IIITDM Kancheepuram

Lead Core, CP (Competitive Programming)
  • Steered and advised team members to prepare questions of different difficulty levels on various competitive programming topics
  • Organized various college wide coding contests on CodeChef platform; increased the number of participants by 15%
  • Prepared content and organized online sessions on important competitive programming topics such as C++ STL vectors, stack, queue
September 2020 - May 2021
CS Club

Vidhai - IIITDM Kancheepuram

Curriculum and Teaching Volunteer
  • Created exam materials on mental ability and mathematics for students in a government school in India to excel in national level scholarship exam conducted across India such as NTSE and NMMS
  • Teaching mathematics and science subjects for class 10 students in a government school in India during the weekends
January 2020 - April 2021
Vidhai

Contact me

My inbox is always open; glad to connect, discuss and collaborate. Could relate to work, volunteering or a casual talk!
Feel free to shoot me an email ; will get back ASAP!

Viknesh Rajaramon | Portfolio

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