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Ariharasudhan S
Intermediate / Mid LevelDeep Learning Engineer | Adept at NLP, Computer Vision
Role interests:
- computer vision
- ai jobs
Skills:
- deep learning, machine learning, ai
- nlp, computer vision, data science
- python, pytorch, llm, langchain, rag
- vector databases, agentic ai, neural networks
Regional interests:
- Remote/Anywhere
Country interests:
- Remote
- india
- Yes
Remote only:
Hi, I am Ariharasudhan. I completed my B.E. in Computer Science and Engineering at Einstein College of Engineering, Tirunelveli with a CGPA of 8.97. Before that, I finished my Higher Secondary School Examination in Tenkasi with a score of 87%.
I started my professional journey at Zoho Corporation as a Project Trainee in January 2023, where I focused on intelligent document processing. I learned deep learning concepts, backend frameworks, and hardware, and I trained small neural networks to tackle few-shot classification tasks. Later, as a Member Technical Staff, I worked on building a few-shot Doc2Vec model using ResNet-50 and DiT, performed multimodal training by combining visual and textual features, and achieved strong generalization for document embeddings.
In 2024, I moved into Zoho’s speech profiling team, where I worked on audio classification using CNNs, learning about feature extraction and handling challenges such as varying sampling rates. I then joined Zoho Desk, where I contributed to both UI and AI systems. My work included building a Retrieval-Augmented Generation system with FAISS and HuggingFace models, along with developing production-grade ReactJS features. During this time, I also mentored my peers on JavaScript internals, ReactJS, and TypeScript.
In June 2025, I joined Moative as an AI/ML Engineer. Here, I am developing full-stack AI systems, covering everything from model prototyping to scalable cloud deployment. My work includes exploring healthcare-related data such as EHR and ICD codes for revenue cycle optimization, integrating conversational AI with water services, building overlap detection systems for partnerships, automating CEQA permitting with OCR and vector-based document analysis, and creating a clinical trial analysis platform using Neo4j, FastAPI, and Google Gemini.
Alongside my work experience, I have built several projects such as CRISPR In Silico, an LLM-based system for analyzing DNA sequence similarity and predicting off-target effects in gene editing, and AI Powered MediKit, which uses Vision Transformers and speech analysis for medical diagnostics. I also developed MindKural, a RAG-based conversational AI bot that answers queries from the Thirukkural, as well as few-shot classification models, object detection systems, and language models for tasks like dialect classification and next-word prediction.
I have been actively involved in teaching and mentoring. I taught machine learning and MERN stack development to students, conducted sessions on AI fundamentals and technology’s role in rural development, and dedicated my evenings to writing detailed explanations for each Thirukkural. I have also participated in hackathons, reaching the final rounds at Medecro.ai and Atheneum, and won multiple prizes in technical symposiums for paper presentation, web designing, code debugging, and project presentations.
My technical skills include Python, PyTorch, FastAPI, ReactJS, SQLAlchemy, NodeJS, Docker, MySQL, MongoDB, and deployment on cloud platforms. I am comfortable working across Windows, macOS, and Linux environments, and I use Git for version control.
I am now looking for remote AI and research opportunities where I can focus on training neural networks at scale, solving complex real-world problems, and pushing forward in applied AI. You can explore my work at arihara-sudhan.github.io
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Job Types:
- Full Time