I am an AI Engineer with a Master’s in Artificial Intelligence from Queen Mary University, passionate about building intelligent systems that drive real-world impact. With a strong foundation in machine learning and deep learning, I have worked on designing and optimizing AI-driven solutions that enhance efficiency and innovation. My expertise spans across model development, data-driven decision-making, and the deployment of scalable AI applications. Staying at the forefront of emerging technologies excites me, and I am always looking for ways to push the boundaries of what AI can achieve.
As I progress in my career, my focus is shifting toward leadership and strategic AI development. I am driven by the goal of leading high-impact AI teams, shaping AI strategies, and fostering innovation at the intersection of technology and business. I believe that strong leadership in AI requires not only technical expertise but also the ability to inspire, mentor, and drive collaboration. My vision is to contribute to the responsible and forward-thinking adoption of AI, ensuring it is harnessed for both business success and societal advancement.
▸ Java
▸ TypeScript
▸ Python
▸ Amazon Web Services
▸ Kotlin
▸ Git
02. My Projects
Featured Project
Postgraduate dissertation
Multi-Agent Mechanisms for Multi-Hop
Retrieval and Reasoning in RAG Systems. Conducted under the supervision of Dr Umair Chaudhury.
PythonPyTorch
Featured Project
Undergraduate dissertation
Proximal Policy Optimisation (PPO) algorithm trained to balance an inverted double pendulum. Conducted under the supervision of Dr Angadh Nanjangud. Received Institutional of Mechanical Engineers (IMechE) project prize.
PythonPyTorchSymPy
Other Projects
Hobby Projects
Some of my hobby projects include:
Twitter Alexa Skill (achieved third place world-wide in Twitter's official hackathon!).
Plug & Play Android templates.
Data Acquisition Viewer.
JavaPythonMATLABJavaScript
Featured Project
Undergraduate dissertation
Proximal Policy Optimisation (PPO) algorithm trained to balance an inverted double pendulum. Conducted under the supervision of Dr Angadh Nanjangud. Received Institutional of Mechanical Engineers (IMechE) project prize.
PythonPyTorchSymPy
03. Where I’ve Worked
Software Engineer @ Medidata
Sep. 2024 – Current
Solid expertise in backend engineering, designing and developing scalable and efficient server-side applications.
Strong understanding of software architecture principles, including modular design and code reusability.
Increased service fulfillment rate by 40% with the restructuring of the runtime operations.
Designed and implemented a native caching infrastructure with a notable 24% cost reduction.
Proficient in utilizing key tools and technologies such as Java, AWS, CI/CD pipelines, and Git.
AWS Certified Cloud Practitioner.
04. What's Next?
Get In Touch
I am a highly passionate engineer with a proven track record of fast execution, effective communication, and proactive contributions.
