Akhilesh Mohanasundaram
Ambitious CS student specializing in AI, with a strong foundation in machine learning, deep learning, and data analytics. Building innovative solutions that bridge research and real-world impact.
About Me
A passionate builder at the intersection of AI research and engineering
I am an ambitious computer science student at Amrita Vishwa Vidyapeetham, specializing in Artificial Intelligence. My journey spans from architecting probabilistic deep learning models for quantitative finance to building secure IoT communication systems at IIT Kharagpur.
I thrive at the intersection of cutting-edge research and practical engineering — whether it's designing GraphRAG pipelines with knowledge graphs, developing AI-powered health companions, or presenting at IEEE conferences. I'm driven by a desire to build robust, efficient, and impactful solutions that push the boundaries of what's possible.
Education
Amrita Vishwa Vidyapeetham
2023 – PresentB.Tech in CSE (Artificial Intelligence)
CS Academy
2022 – 2023Higher Secondary Certificate (HSC - AISSCE)
Skills & Technologies
A diverse toolkit spanning AI/ML, full-stack development, and cloud platforms
Programming Languages
Web Development
AI / ML & Data Science
Tools & Platforms
Soft Skills
Work Experience
My professional journey through AI research, machine learning, and software engineering
AI Intern
- Contributed to production-oriented AI workflows by engineering feasible solutions for real-world problems
- Translated complex problem statements into practical LLM architectures, bridging domain requirements and deployable AI systems
- Optimized AI pipelines for reliable performance in production environments
Summer Research Intern
- Designed and implemented a secure communication system using TCP and hybrid cryptography on Raspberry Pi devices over LoRa networks
- Developed a Wi-Fi–LoRa gateway architecture to enable encrypted client-server data exchange
- Conducted rigorous performance benchmarking on encryption overhead and transmission delay
Machine Learning Intern
- Designed and developed SpamSense, an AI-powered spam detection system for SMS classification
- Built robust front-end and back-end architecture integrating advanced ML algorithms
- Authored comprehensive documentation covering system architecture and API specifications
UI/UX Design Intern
- Designed the user interface for Club Chat, a club management mobile application
- Applied iterative design principles through wireframes, mockups, and user feedback cycles
- Strengthened front-end development skills through real-world design challenges
Featured Projects
A collection of my work in machine learning, AI systems, and full-stack development
Probabilistic Quantitative Trading System
Deep learning trading engine using Transformer + MoE with probabilistic modeling. Achieved 1.23 Sharpe Ratio outperforming SPY benchmark.
GraphRAG Agent: Knowledge Graph RAG
Autonomous RAG pipeline with web scraping, knowledge graph construction, and context-aware question answering via sub-graph retrieval.
Advanced Epileptic Seizure Detection
End-to-end ML/DL pipeline classifying focal vs non-focal seizures from EEG signals. Achieved 90.1% accuracy with optimized LSTM.
Smart Diet Assistant: IoT Food Analysis
IoT system using Raspberry Pi and deep learning to analyze food images and provide real-time nutritional breakdown.
SpamSense: AI-Powered SMS Filtering
Intelligent SMS filtering app using NLP and Naive Bayes to detect and block spam with a Flask-based REST API.
Achievements & Recognition
Awards, publications, and leadership roles that define my journey
IEEE RECCAP 2026 — Conference Paper Presentation
May 2026Presented research on integrating Wavelet Scattering Transform and Deep Learning for EEG-based depression classification at IEEE RECCAP 2026, held at IIT Palakkad.
Tech Team Lead — IETE Students' Chapter
Jul 2025Spearheaded workshops and tech events on emerging technologies including Generative AI and Embedded Robotics at Amrita Vishwa Vidyapeetham.
Winner — LaunchHacks IV (PCOSense)
Jun 2025Developed an AI-powered PCOS care app with cycle tracking, knowledge graph–based food analysis, yoga pose matching, and personalized LLM-based recommendations.
NPTEL Elite + Gold Certificate — IoT
Nov 2024Secured Course Topper rank with 92% score in Introduction to Internet of Things, placing among the top 2% nationwide.
IBM TechXchange Hackathon — Top 100 Finalist
Oct 2024Ranked Top 100 globally in the IBM Watsonx Hackathon, earning a fully sponsored pass to the TechXchange Conference in Las Vegas.
Agentic AI Engineer — Intel IoT Club
May 2024Organized AI-focused workshops and developed multiple AIoT solutions at Amrita Vishwa Vidyapeetham's Intel IoT Club.
Certifications
Professional certifications in cloud computing, quantum computing, and data science
Google Cloud Computing Foundations
Google Cloud
Jul 2025 – Aug 2025Introduction to Quantum Computing: Quantum Algorithms & Qiskit
NPTEL (Funded by MoE, Govt. of India)
Jul 2024 – Aug 2024AWS Academy Cloud Foundations
AWS Academy
Nov 2023 – Mar 2024Data Science and Data Analytics
Teachnook
Sep 2023 – Oct 2023Let's Build Something Amazing
I'm always open to discussing new opportunities, research collaborations, or interesting projects. Whether you're a recruiter, a fellow developer, or just want to say hi — feel free to reach out!