Hi, I'm Ayngaran Krishnamurthy
Developer | Entrepreneur | Public Speaker
About Me
Hello, I'm Ayngaran Krishnamurthy, a tech enthusiast with a passion for problem-solving. I thrive on the intricacies of coding and enjoy crafting digital solutions that make life easier. With a background in Computer Science, I've gained valuable experience working on various tech projects. At Accenture, I've contributed to the development of diverse systems and won recognition for my dedication. Beyond the tech world, my true joy lies in hitting the open road. I'm an avid driver who loves the thrill of exploration and the freedom of the journey. In my downtime, you'll find me behind the wheel, navigating new horizons. With experience in teaching and training, I'm excited to share my knowledge and learn from others. Let's collaborate and bring innovation to the tech world, while I continue to explore the world's highways. 🚀👨💻
Skill Set
Technical Skills
Programming Languages:
Python
Java
Go
C#
Databases:
MongoDB Cloud
Microsoft SQL
MySQL
Message Queue:
Apache Kafka
Familiar Frameworks:
Apache Maven
Spring Boot
NodeJS
Vaadin
Tools:
Splunk Cloud
Grafana
Apache Kafka
ArgoCD
Docker
Kubernetes
Non-Technical Skills
Problem-Solving & Logical Reasoning
Root Cause Analysis
Corporate Communication & Training
Team Management
Public Speaking
Risk Management
Event Management
Work Experience
Accenture
Custom Software Engineering Analyst
Sep 2023 - Dec 2023
Mental Wellness Advocate
May 2023 - Present
Custom Software Engineering Associate - .NET Developer
Jun 2023 - Sep 2023
Custom Software Engineering Associate - Java Developer | Site Reliability Engineer
Feb 2022 - Aug 2023
Application Development Associate - Go Developer
Aug 2021 - Feb 2022
Panimalar Engineering College
Entrepreneurship Development Cell Manager
Jul 2019 - Feb 2021
Smazee
Junior Web Developer Intern
Jun 2020 - Sep 2020
Academic Qualification
Old Dominion University
Masters in Computer Science
(Currently pursuing)
Panimalar Engineering College
B.E. Computer Science & Engineering
Cumulative GPA: 7.94/10
Don Bosco Matriculation Higher Secondary School
Higher Secondary Certification (XII)
Percentage: 76.4%
Don Bosco Matriculation Higher Secondary School
Secondary School Leaving Certification (X)
Percentage: 88.8%
Projects
Stock Price Prediction and Portfolio Optimization
Stock Price Prediction and Portfolio Management is an innovative project developed as part of the Data Science course DS620 at Old Dominion University during the Spring 2024 semester. Crafted entirely in Python and leveraging advanced machine learning techniques, particularly Long Short-Term Memory (LSTM) networks, this project operates seamlessly as a backend system within the Google Colab environment. By analyzing historical stock price data derived in real-time from Yahoo Finance, the system employs LSTM models to forecast future stock prices, providing insightful recommendations on investment strategies.
Despite lacking a traditional interface, Stock Price Prediction and Portfolio Management offer users a powerful tool to make informed investment decisions. Its integration with Google Colab showcases the adaptability and scalability of the solution, making it accessible and convenient for users to utilize. Rooted in academic rigor and driven by practical application, this project embodies the innovative spirit of data science, paving the way for advanced data-driven approaches to financial management.
Orderely Demeanor Inspection System (ODIS)
ODIS represents a straightforward yet robust Machine Learning-driven chatbot. It harnesses a live video feed to analyze an individual's emotional state and, based on real-time user feedback, embarks on a conversation by generating prompts. These prompts are dynamically created as the interaction progresses. After a few initial prompts, the chatbot autonomously generates prompts to enhance the user's comfort and engagement.
Subsequently, this concept materialized into a prototype, which underwent rigorous testing, resulting in an impressive accuracy rate of 74% and a remarkable success rate of 82%. As a testament to its innovative nature and remarkable success, ODIS was later submitted as the final year project and earned the distinction of being recognized as one of the most innovative projects in its category.
Remote Control for Physically Challenged (RCPC)
RCPC is meticulously designed to assist individuals with physical disabilities in easily accessing electrical devices, reducing their reliance on others. This innovative solution, RCPC, is a user-friendly, plug-and-play IoT module comprising two essential components: a transmitting remote and a receiver modem that seamlessly interfaces with the switchboard.
Notably, configuring the modem to the switchboard is a quick process, taking just 5 minutes to set up. With this minimal setup time, RCPC is ready to deliver enhanced convenience. This impactful project was later submitted as my mini-project during my Bachelor's Degree.
Multi-Hash Algorithm
Multi-Hash, born from a visionary idea, was designed to elevate online account security amid concerns like phishing and rainbow tables. While industry leaders emphasized multifactor authentication and strict password rules, Multi-Hash offered a cost-free solution.
This algorithm operates in two stages: locally hashing the password on the user's device using a hashing algorithm, then adding a layer of protection by utilizing the inline sequential algorithm for salting and hashing it on the server before storing it in the database. This way the password is never exposed as raw data. In case of a breach, hacking becomes a formidable challenge due to Multi-Hash's approach to password handling.
This groundbreaking project demonstrated a remarkable 79% effectiveness. It was chosen to represent our college in the prestigious Smart India Hackathon and secured a top-10 spot in a state-level 24-hour hackathon. Multi-Hash exemplifies innovation and robust online security.
Certifications & Badges
This is my most recent badge /certificate, to view other certifications go to the certifications page or click on the button below.
Publications
The Repaschine: A Robot to Analyze and Repair Roads Using Cutting-Edge Technologies.
Machine Learning based Presaging Technique for Multi-User Utility Pattern Rooted Cloud Service Negotiation for Providing Efficient Service.
R-Assistant Robots for Unstable Emotions: A Machine Learning based robot to understand emotions and induce human-like conversations.
Honors & Awards
Shared Success Catalyst
Accenture
Power Platform Conversant
Accenture | Mircosoft
Enhancing Student Community
Panimalar Engineering College
Additional Information:
I know four languages: English, Tamil, Malayalam & French.
Certified in Risk Management and Strategic Planning by IBMI.
My hobbies include Basketball, Driving, Cooking, Reading journals, and blogging.
I run a technology cum business blog page called InnovateNest.