Himanshu
Mohanty
Crafting next-generation AI solutions and immersive web experiences that push the boundaries of what's possible in the digital realm.
About Me
Passionate about crafting intelligent solutions that bridge the gap between cutting-edge AI research and real-world applications.
My Journey
As a recent B.Tech Computer Science Engineering graduate from India, I've dedicated myself to pushing the boundaries of artificial intelligence and web development. My passion lies in creating intelligent systems that not only solve complex problems but also enhance human experiences.
From developing AI-powered language preservation tools for Odia to architecting sophisticated ETL pipelines with autonomous agents, I believe in technology's power to create meaningful impact. Every project is an opportunity to innovate and push the envelope of what's possible.
Education
B.Tech Computer Science Engineering
Graduated April 2025
Specialized in AI/ML with focus on natural language processing and distributed systems architecture.
Current Focus
Skills & Expertise
A comprehensive toolkit built through years of hands-on experience and continuous learning in cutting-edge technologies.
Professional Experience
A journey through cutting-edge technology companies, contributing to innovative projects and scaling AI solutions.
Accenture
Software Engineer
Learning and working with cross-functional teams to design and implement scalable cloud solutions
Developing GenAI-powered applications leveraging agentic AI frameworks and LLM orchestration
Collaborating on GCP-based data engineering pipelines and cloud infrastructure optimization
Contributing to innovative projects that drive digital transformation for Fortune 500 clients
Accenture
ASE Intern
Developed Python automation scripts for log monitoring and Bash scripts for system management, reducing manual effort by 80% for a Fortune 500 client project
Gained hands-on experience in GCP Data Engineering, working on internal pipelines and cloud-native solutions
Collaborated with senior leaders on a Community of Practice (CoP) research project to implement an Agentic AI framework in Databricks
Explored multi-agent orchestration and AI-driven data validation workflows to enhance DataOps maturity
Samsung R&D Institute India
Research & Development Intern
Designed and implemented a User Consent Manager using transformer-based models to classify legal clauses by fairness and compliance
Achieved 89.64% validation accuracy and 85.84% test accuracy on ToS clause classification using LLAMA 3.2 and fine-tuned RoBERTa
Built a Streamlit dashboard for seamless document upload, clause extraction, and interpretability of AI decisions
Applied advanced NLP techniques and domain-specific prompts for extracting unfair terms from real-world privacy policies
National Aluminum Company (NALCO)
Summer Intern
Spearheaded the development of an MIS system for real-time data monitoring in the Captive Power Plant
Reduced manual data handling by 60% through automation and streamlined reporting processes
Enhanced data integration and reporting accuracy, supporting improved decision-making across departments
Recognized for optimizing system reliability and efficiency, contributing to increased productivity
Featured Projects
A showcase of innovative solutions spanning AI/ML, web development, and cutting-edge technology implementations.
Odia Lingua
OdiaLingua is a cutting-edge, AI-powered conversational platform designed exclusively for Odia speakers. Born from a vision to break down language barriers, it has evolved from a simple prototype into a full-stack, production-ready application powered by a sophisticated multi-agent AI system.
Research Publications
Contributing to the advancement of AI and computer vision through peer-reviewed research and academic publications.
NeuroCogNet: Advanced Computational Intelligence for Neurological Diagnosis
5th Doctoral Symposium on Computational Intelligence (DoSCI-2024)
Springer Publications
This paper presents NeuroCogNet, a novel deep learning framework that combines advanced computational intelligence techniques with medical imaging analysis for accurate neurological diagnosis. The framework demonstrates superior performance in detecting and classifying neurological conditions.
Face the Future: Generating Animated 3D Avatars from Monocular Multimedia Instances with Unified Deep Learning Approach
ICCCNet-2024 at Manchester Metropolitan University, UK
Springer Publications
An innovative approach to generate realistic animated 3D avatars from single multimedia instances using a unified deep learning framework. The method bridges computer vision and computer graphics for immersive avatar creation.
Research Collaboration
Interested in collaborating on AI research, publishing papers, or discussing cutting-edge developments in machine learning and computer vision?
Let's Connect
Ready to build something extraordinary together? Let's discuss your next AI project, collaboration opportunity, or just connect over shared interests in technology.
Send a Message
Get in Touch
Availability
Open to opportunities
Ready to start immediately
Response Time
Within 24 hours
Quick turnaround guaranteed