Hi, I'm Manthan Hirani
A passionate researcher and developer focused on AI, Computer Vision, and Deep Learning. Explore my work or chat with my AI assistant to learn more.
Development
Building robust applications with modern stacks like Next.js and Django.
Research
Deep diving into Deep Learning and Computer Vision focused on synthetic image analysis.
AI Integration
Implementing RAG-powered systems and LLM solutions for interactive experiences.
Silver Medal in M.Tech
Awarded the Silver Medal for academic excellence during my M.Tech program. A testament to dedication, hard work, and a passion for continuous learning in the field of Computer Science and Deep Learning.
Professional Experience
AI & Data Consultant
Birlanest (CKA Birla Healthcare), Gurugram
- ●Developed production-grade LLM applications including WhatsApp chatbot, Voice AI assistant, OCR-powered document intelligence, and Text-to-SQL systems using OpenAI, LangChain, and LangGraph.
- ●Built Retrieval-Augmented Generation (RAG) pipelines with document ingestion, embeddings, retrieval optimization, tool calling, memory, and multi-step reasoning to improve factual accuracy and reduce hallucinations.
- ●Implemented prompt engineering techniques including prompt chaining, context optimization, structured outputs, and function/tool calling for enterprise healthcare workflows.
- ●Developed backend AI services using Python, FastAPI, Streamlit, MongoDB, and PostgreSQL while integrating enterprise healthcare systems and structured/unstructured data sources.
- ●Designed ETL pipelines transferring conversational data from MongoDB to PostgreSQL and created Apache Superset dashboards for AI performance monitoring and business analytics.
- ●Containerized AI services using Docker and deployed scalable applications on AWS EC2 while monitoring production infrastructure and resolving critical synchronization issues.
Teaching Assistant
IIIT Vadodara, Gandhinagar
- ●Mentored 200+ students in Algorithms and Cryptography, improving problem-solving and system design thinking.
Technical Consultant
Mudrika AI (Remote)
- ●Developed AI Proof-of-Concept applications using Streamlit for image generation, enhancement, and computer vision use cases.
- ●Implemented backend features in Django applications and integrated AI-powered image processing pipelines.
- ●Developed OCR pipelines for extracting structured information from unstructured documents.
- ●Collaborated on cloud-based AI deployments, debugging, testing, and production integration.
Odoo Trainee Engineer
Aspire Softserv, Ahmedabad
- ●Developed custom ERP modules and automated reporting workflows, improving operational efficiency.
- ●Built data-driven dashboards supporting business decision-making processes.
Research Publications
Dynamic Risk Stratification in ICU Sepsis: A Deep Reinforcement Learning Approach Using Synthetic Data
Research Publication (IEEE REACS 2025): This study frames dynamic ICU sepsis risk stratification as a reinforcement learning problem using a Dueling Double Deep Q-Network (D3QN). Utilizing a privacy-safe synthetic dataset of 2,164 patient stays, the model evaluates 42 sequential clinical features and SOFA scores to predict patient improvement across 4-hour intervals. The trained agent attains 75% accuracy on unseen trajectories, capturing complex temporal patterns and demonstrating a clinically desirable bias toward correctly flagging non-improving cases for potential bedside decision support.
Featured Projects
Exploring the boundaries of AI, Computer Vision, and Deep Learning through research-led development.
Certifications & Achievements
Advance Course of Emerging Technologies
SAP and edunet
Learned emerging technologies like Machine Learning, IoT, Deep Learning, Computer Vision and SAP ABAP on BTP. Practical knowledge and implementation of various projects during 100 hours.
Fundamentals of Deep Learning
NVIDIA
Completed industry-recognized training covering core deep learning concepts including neural networks, CNNs, optimization techniques, and applications in computer vision and AI.
UGC-NET Qualified
Computer Science and Applications
Qualified National Eligibility Test (NET) for Assistant Professorship, demonstrating deep technical knowledge in CSE.
2024
GATE Qualified (DA)
Data Science and AI
Successfully qualified the Graduate Aptitude Test in Engineering in the Data Science and Artificial Intelligence paper.
2024
GATE Qualified (CS)
Computer Science and IT
Successfully qualified the Graduate Aptitude Test in Engineering in the Computer Science and Information Technology paper.
2024
About Me
I am a dedicated researcher and developer with a deep focus on Computer Vision and Deep Learning. My work often explores the intersection of security and AI, particularly in synthetic image analysis.
With a strong foundation in both theoretical research and practical implementation, I bridge the gap between complex algorithms and user-centric applications. Whether I'm fine-tuning a neural network or crafting a pixel-perfect frontend, I strive for excellence and innovation.