Hi, I'm Rushikesh Mohalkar
I'm a
Passionate and curious AI/ML enthusiast transitioning into the world of software and intelligent systems. Exploring generative AI, deep learning, and reinforcement learning to make systems smarter and impactful.
""The future of AI isn't about replacing humans—it's about amplifying human intelligence. Machine Learning teaches us patterns, Deep Learning reveals hidden insights, and Reinforcement Learning shows us how to adapt and improve. Together, they're not just algorithms; they're the building blocks of tomorrow's intelligent world."
"
About Me
Get to know me better
The AI Odyssey: From Curiosity to Passion
Picture this: A wide-eyed teenager, sitting in front of a computer at 2 AM, watching YouTube videos about neural networks while the rest of the world slept. That was me, and little did I know that those sleepless nights would shape my entire future.
My journey into the world of AI started with a simple yet profound question: "What if machines could think like humans?" This wasn't just curiosity—it was an obsession. I spent countless hours reading research papers, experimenting with algorithms, and building my first neural network (which, spoiler alert, didn't work at all on the first try!).
The turning point? When I built my first image classifier. Watching a computer correctly identify whether an image was a cat or a dog felt like magic. That moment of pure joy and wonder—that's what keeps me going. It's not just about the code; it's about creating something that can learn, adapt, and surprise you.
Fast forward to today: I'm diving deep into the fascinating world of reinforcement learning, exploring how AI can learn through trial and error—just like humans do. From understanding the fundamentals of neural networks to building systems that can play games better than humans, every day brings new challenges and discoveries.
But here's the real story: I'm not just a tech enthusiast; I'm someone who believes that AI has the power to transform our world for the better. Whether it's helping doctors diagnose diseases, making education more accessible, or solving complex environmental challenges, I see AI as humanity's greatest tool for progress.
The future? I'm excited about exploring generative AI, understanding how machines can create art, music, and literature. It's not about replacing human creativity— it's about amplifying it, working together to create things we never thought possible.
What I’m focused on now
I’m actively exploring practical reinforcement learning for real-world systems, scalable model deployment, retrieval-augmented generation, and evaluation frameworks for LLM applications. On weekends, I tinker with small agents that can plan, critique their own output, and iterate toward a goal.
I care deeply about writing maintainable code, clean interfaces, and building tools that other people enjoy using. Clear naming, small abstractions, and fast feedback loops are my favorite engineering superpowers.
Beyond the code
- Mentoring peers who are transitioning into AI/ML from adjacent fields.
- Reading research to bridge the gap between papers and production.
- Designing delightful user experiences for technical tools and dashboards.
Fun fact: I once spent 48 hours straight debugging a neural network, only to realize I had a typo in my loss function. The lesson? AI teaches you patience, persistence, and the importance of coffee! ☕
Technical Arsenal
Featured Projects
Explore my latest AI/ML work
Blog Posts
Thoughts and insights on AI/ML
Get In Touch
Let's work together on your next AI project
Let's Connect
I'm always interested in new opportunities and collaborations. Whether you have a project in mind or just want to chat about AI/ML, feel free to reach out!
Resume & Experience
My professional journey, skills, and achievements in the field of AI and Machine Learning.
Current Resume
Experienced AI/ML Engineer with expertise in deep learning, computer vision, and natural language processing. Passionate about developing innovative solutions and pushing the boundaries of artificial intelligence.
Experience
QA Engineer
Cognizant • July 2024 - Present
Ensuring software quality through testing, automation, and process improvements.
Aspiring AI Engineer
Future Role
Preparing to transition into Artificial Intelligence engineering, focusing on machine learning and deep learning.
Education
MSc in Computer Science (Future)
AI University • Expected 2026 - 2028
Planned specialization in Artificial Intelligence and Machine Learning.
BE in Electronics & Telecommunication (ENTC)
AISSMS IOIT, Pune • SPPU University • 2019 - 2023
Foundation in electronics, communication systems, and software engineering.