Bengaluru, Karnataka, India
Siddharth
Muraleedharan
>
Passionate about artificial intelligence, dedicated to advancing research in Generative AI and Large Language Models (LLMs). My work focuses on exploring innovative solutions and pushing the boundaries of what's possible in this dynamic and transformative field.
01 / About
I'm a Technical Specialist at Sony India Software Centre, working across deep learning and agentic AI systems. Over the past several years I've moved from Android and full-stack development into applied NLP and generative AI — with published research on text-to-image generation and a continued focus on building practical, production-grade LLM applications.
02 / Experience
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Technical Specialist
Apr 2026 – PresentSony India Software Centre · Bengaluru
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Senior Software Engineer
Aug 2022 – Mar 2026Sony India Software Centre · Bengaluru
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Student Trainee, R&D Software Development
Aug 2021 – Jul 2022Nokia · Bengaluru, Karnataka, India
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Founder & Developer
Nov 2017 – Aug 2020Programmer Me — CUCEK Tech Club · Kerala
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Extern
Jun 2020 – Jul 2020AT&T
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Intern
Apr 2019 – Jun 2019The Sparks Foundation · Singapore
Two-month technology internship.
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Intern, Android App Development
Jun 2018iROID Technologies · Cochin Area, India
One month internship on Android app development.
03 / Education
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M.Tech, Artificial Intelligence and Data Science
2020 – 2022Amrita Vishwa Vidyapeetham
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B.Tech, Computer Science
2016 – 2020Cochin University of Science and Technology
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Higher Secondary, Mathematics and Computer Science
2013 – 2015Kendriya Vidyalaya — AFS Avadi, Chennai
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Data Science, Artificial Intelligence and Algorithms
Udacity
04 / Skills & Certifications
Top Skills
- Natural Language Processing (NLP)
- Artificial Intelligence (AI)
- Large Language Models (LLM)
Languages
- English — Full Professional
- Hindi — Full Professional
- Malayalam — Native / Bilingual
- Tamil — Limited Working
Certifications
- Baseline: Data, ML, AI
- Data Science Orientation
- Programming for Data Science with Python
- Deep Learning
- Learning Ethical Hacking from Scratch
Honors & Awards
05 / Research
Text to Image GANs with RoBERTa and Fine-grained Attention Networks
06 / Projects
DDoS Attack Analysis via Botnet-Infected IoT Devices
Comparing multiple ML classifiers to detect DDoS attacks from botnet-infected IoT devices.
Image Captioning with Inception + LSTM
Deep learning model combining Inception and LSTM to generate captions on the Flickr8k dataset.
Spotify Recommendation System
Content-based music recommendation pipeline built with PySpark and Kafka.
Coursu
Course recommendation system that asks a few questions and suggests courses tailored to the user.
ResNet-34 on CIFAR-10
ResNet-34 built from scratch in PyTorch and trained on the CIFAR-10 dataset.
Brightest-Area Detection in Astronomical Imagery
Applies Kadane's Algorithm to locate the brightest region in astronomical images and video.
07 / Writing
18 articles as a contributor on Analytics Vidhya since 2021, covering deep learning, NLP, and generative AI.
- Dynamic Prompt Adaptation in Generative Models
- Stock Price Prediction using LSTM
- CNN — PyTorch on CIFAR-10
- LSTM: Predict the Next Word
- Building ResNet-34 Using PyTorch
- Your First ANN Using PyTorch
- Feature Extraction & Embeddings in NLP
- Time Series Modelling with Auto ARIMAX
08 / Contact
Always happy to talk AI, LLMs, or interesting engineering problems.