Anjishnu Saw
UnderGrad AI/ML Researcher & Electronic Systems Student
Research Interests:
About Me
Driven by curiosity and fueled by resilience, I'm on a mission to advance AI/ML research while pursuing my passion for Electronic Systems at IIT Madras.
My Journey
I'm Anjishnu, an emerging computer science researcher with a strong interdisciplinary foundation in Electronics Systems (BS - IIT Madras) and Core Computer Science (B.Tech - KIIT University). Passionate about applying Machine Learning and Deep Learning in real-world applications, I’ve already published several peer-reviewed research papers, including a recent one in Springer LNSS, and presented internationally — solo — in Malaysia. My academic record includes a consistent 9.5+ SGPA, showcasing both technical depth and relentless work ethic.
At the intersection of AI, computational biology, and systems engineering, I’m building impactful projects such as multimodal classifiers on platforms like Kaggle, and deploying real-time analytics tools on Vercel. With over 30 repositories on GitHub, a growing presence on Google Scholar, and certifications from respected institutions across the globe, I’m steadily aligning my career for my research future.
But beyond code and theory, I’m driven by a deeper purpose — to break generational ceilings and give back. I strongly believe in authentic collaboration, emotional intelligence, and lifting others through innovation and mentorship. I don’t just build software — I build systems that reflect compassion, intelligence, and long-term vision. Let’s connect if you’re passionate about AI for good, research-led innovation, or just curious about how technology, humility, and grit can build the future.
Core Values
Research Excellence
Committed to pushing the boundaries of AI/ML research with rigorous methodology and innovative approaches.
Academic Resilience
Overcoming challenges in my academic journey has strengthened my determination to contribute meaningfully to science.
Collaborative Spirit
Believing in the power of interdisciplinary collaboration to solve complex real-world problems.
Innovation Focus
Passionate about translating theoretical research into practical solutions that benefit society.
Programming Languages & Technologies
Python
Primary language for AI/ML research and data analysis
C
Advanced applications in graphics and embedded systems
C++
System programming and performance-critical applications
JavaScript
Website development and modelling for research interactions
Java
Object-oriented programming and interactive developments
Notable Mentors
Research Publications
Exploring the intersection of AI/ML and Electronic Systems through rigorous research and innovation.
This research explores a competitive way of integrating Machine Learning(ML) techniques to Genetic-Algorithm(GA) for efficient CPU scheduling. The proposed method incorporates ML-predicted best-fit functions into the GA framework....
This paper discusses an innovative method to predict the stock market prices using lesser data and extracting the maximum output by utilizing a hybrid modelling strategy of Long-Short-Term-Memory (LSTM) and Auto Regressive-Integrated-Moving-Average (ARIMA) to capture the data trends and hence predict the prices ...
Conferences & Talks
Sharing research insights and connecting with the global academic community through international conferences and speaking engagements.
"A hybrid approach for Efficient CPU Scheduling: Implementation of ML in Genetic Algorithm"
Solo international presentation discussing the implementation and usage of ML-Algorithm for efficient CPU Scheduling.
Key Highlights:
- First physical International Conference as UG researcher
- Audience of researchers and industry professionals
- Featured in Springer LNSS
"A Novel Method for Testing Digital ICs"
Presented research on applying simple cloud integration techniques for CMOS Digital ICs verification
Key Highlights:
- Live demonstration
- Networking with industry leaders, and researchers
"A fusion approach to enhance the prediction of Stock prices"
Showcased research on using hybrid modelling techniques for accurate prediction of stock prices in Indian Market.
Key Highlights:
- Featured in Springer SIST
Projects Hub
Innovative projects spanning AI/ML research, hardware design, and practical applications. Each project represents a step forward in bridging theory and practice.
Full-stack stock market analysis and portfolio management app for Indian markets (NSE).
Interactive ML visualizations, explanations, and quizzes for learning algorithms.
Academic Journey
Pursuing excellence in Computer Engineering and Electronic Systems at IIT Madras while building a strong foundation in AI/ML research and maintaining consistent academic performance.
2025
Semester 4
Highlights:
- Physical Paper presentation in Kuala Lumpur, Malaysia
2024
Semester 3
Highlights:
- Extended work on usage of GANs for early stage Lung Cancer Detection
2023
Semester 2
Highlights:
- Physical paper presentation in Hyderabad, India
2023
Semester 1
Highlights:
- First Conference Paper
Major Coursework
Professional Certifications
Deep Learning Specialization
Zero To Mastery Academy
Python 101 for Data Science
IBM
Indian Institute of Remote Sensing
IIRS,ISRO
Achievements & Awards
Recognition for academic excellence, research contributions, and professional achievements throughout my journey in AI/ML and Electronic Systems.
Let's Connect
I'm always excited to discuss research opportunities, collaborate on innovative projects, or simply connect with fellow researchers and technology enthusiasts. Let's build the future together!
Get in Touch
Whether you're interested in research collaboration, have questions about my work, or want to discuss opportunities in AI/ML and electronic systems, I'd love to hear from you.
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© 2025 Anjishnu Saw. Built with passion for research and innovation.