Mahaparasad S.-Senior AI Full-Stack Engineer
Check rate
Experience
Senior AI Full-Stack Engineer
DPR Solutions Inc
- Architected a scalable autonomous agent system with Python, OpenAI, LangChain, and TensorFlow, automating multi-step workflows and boosting operational efficiency by 50%.
- Integrated large language models and RAG pipelines via OpenAI APIs and LangChain, enhancing decision-making accuracy in complex workflows and enabling intelligent automation.
- Optimized task scheduling and backend orchestration with Python and Node.js, reducing system downtime by 30% and ensuring reliable execution of time-sensitive tasks.
- Designed backend systems using Django and MongoDB, allowing seamless workflow automation and improving response personalization by 25% through effective context retention.
- Utilized Docker for AI application deployment, enhancing scalability and portability across AWS and Azure, and cutting deployment times by 40%.
- Worked with cross-functional teams using Agile methodologies to uncover automation opportunities, achieving a 35% reduction in operational costs and process improvements.
Tech Stack: Python, LangChain, OpenAI, TensorFlow, Django, Node.js, AWS, Azure, Docker, S3, EC2, Lambda, MongoDB, REST APIs, GraphQL, Agile, Microservices.
AI Full-Stack Engineer
Deloitte
- Spearheaded the design and implementation of scalable, AI-powered solutions using Python, OpenAI, and LangChain, optimizing business workflows and significantly reducing manual intervention by automating key processes, resulting in improved operational efficiency.
- Integrated large language models (LLMs) and retrieval-augmented generation (RAG) pipelines to enhance the AI agent's ability to process complex tasks and provide more accurate decision-making, improving system responsiveness and boosting productivity.
- Led the deployment of AI-driven security features, incorporating machine learning models to analyze data patterns in real-time, reducing threat detection response times and optimizing overall system performance.
- Collaborated with cloud infrastructure teams to utilize AWS for scalable service management, deploying Docker-containerized solutions and implementing serverless architecture with Lambda, enhancing system efficiency and optimizing infrastructure management.
- Optimized data pipelines and backend services using Node.js and Django, ensuring seamless integration across multiple platforms and reducing latency by 25%, enabling faster decision-making processes.
- Implemented containerization best practices with Docker and Kubernetes, enabling faster, more reliable deployments and achieving a 40% reduction in deployment times and a 30% improvement in system uptime.
Tech Stack: Python, OpenAI, LangChain, TensorFlow, AWS, Docker, Kubernetes, Node.js, Django, MongoDB, GraphQL, TypeScript, React
AI Full-Stack Engineer
- Led the development of AI-driven marketplace solutions, integrating TensorFlow and Keras for asset recommendations, dynamic pricing predictions, and market insights, resulting in a 30% improvement in user engagement and a 20% increase in transaction accuracy.
- Designed and implemented decentralized storage solutions with IPFS and Google Cloud Storage, integrating AI models for automated asset verification and smart contract generation to enhance transaction security and mitigate fraud risks.
- Developed AI-powered search and filtering systems with Google Cloud AI that provided faster and more accurate results based on user preferences and behavioral data, decreasing query response time from 1.5s to 0.8s.
- Developed AI-powered search and filtering systems using Google Cloud AI, achieving faster and more accurate results based on user preferences and behavioral data, decreasing query response time from 1.5s to 0.8s.
- Automated backend workflows using Google Cloud Functions and BigQuery, optimizing high-volume transaction data processing pipelines (handling up to 50,000 transactions per hour), reducing manual intervention, and improving overall system efficiency.
- Designed and deployed scalable backend systems using Google Kubernetes Engine (GKE), ensuring seamless integration of AI models with blockchain functionalities (via Solidity and Web3.js) for efficient transaction processing and enhanced marketplace automation.
- Designed and implemented decentralized storage solutions leveraging IPFS and Google Cloud Storage. Integrated AI models for automated asset verification and smart contract generation, utilizing Google Cloud AI tools to enhance transaction security and reduce fraud risks.
- Automated smart contracts and marketplace features using Google Cloud's AI capabilities and Web3.js, reducing transaction costs by 30% while enhancing gas efficiency for blockchain operations.
Tech Stack: Languages & Frameworks: Python, TensorFlow, Keras, Solidity, Web3.js Cloud & Infrastructure: Google Cloud AI, Google Cloud Functions, Google BigQuery, Google Kubernetes Engine (GKE), Google Cloud Storage, IPFS Development Practices: AI-driven solutions, Blockchain integration, Cloud-native applications, Microservices, Smart Contracts
Full-Stack Developer
Tata Consultancy Services
- Developed Web3 applications for NFT marketplace and DAO systems using React and Vue.js, enhancing user experience and engagement through dynamic, interactive front-end user interfaces.
- Developed full-stack solutions combining Python for backend logic and React/Vue.js for front-end interfaces. Delivered seamless user experiences across platforms, optimizing both performance and user satisfaction.
- Integrated OpenAI models for automated NFT verification and smart contract auditing, enhancing marketplace security and functionality while streamlining operations through a 25% reduction in manual review times.
- Worked with blockchain technologies to deploy and maintain smart contracts, automating transactions and reducing transaction failures by 15%, ensuring smooth marketplace operations.
- Integrated OpenAI models into the system for automated NFT verification and smart contract auditing, enhancing the security and functionality of the marketplace. Reduced manual review times by 25%, improving efficiency and streamlining operations.
- Implemented real-time data processing pipelines that enhanced transaction monitoring and user interactions. Reduced latency by 30%, enabling more responsive and real-time decision-making.
- Optimized Ethereum blockchain integration, ensuring high-performance, low-latency transactions and interactions. Reduced transaction times by 20%, improving system responsiveness and user experience.
- Optimized Ethereum blockchain integration for high-performance, low-latency transactions, reducing transaction times by 20% and improving system responsiveness and overall user experience.
Tech Stack: Languages & Frameworks: Python, React, Vue.js, Solidity, Node.js, OpenAI Blockchain: Ethereum Development Practices: Smart Contracts, NFT Marketplace, Web3, Full-Stack Development
Full-Stack Developer
PC Solutions Plus LLC
- Designed and developed innovative financial systems for real-time transaction monitoring, fraud detection, and risk analysis, significantly boosting the reliability and security of the system.
- Built scalable real-time data processing systems, enabling the handling of large-scale financial transactions while improving decision-making capabilities with actionable insights.
- Implemented financial APIs to streamline transaction processing and ensure data integrity across systems, enhancing reliability of financial operations.
- Created backend services with Node.js and Express to deliver high availability and integrate financial services, supporting mission-critical operations.
- Utilized MongoDB and MySQL to manage large transactional datasets, ensuring effective scalability and optimized performance for rapid data retrieval and smooth operation.
- Deployed backend services to AWS, optimizing infrastructure for high-volume transactions and ensuring flexibility during peak demand.
- Spearheaded the development of secure backend systems compliant with financial industry standards, ensuring the integrity of transaction processing and maintaining robust risk management practices.
- Worked closely with cross-functional teams to integrate real-time analytics, further enhancing system performance and delivering faster, more efficient transaction experiences.
Tech Stack: Languages & Frameworks: Node.js, Express Databases: MongoDB, MySQL Cloud & Infrastructure: AWS Development Practices: Financial Systems, Transaction Monitoring, Fraud Detection, Risk Management
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Information Technology, Professional Services, and Banking and Finance.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology and Product Development.
Summary
Senior AI Full-Stack Developer with 9 years of experience designing and deploying AI-driven applications and full-stack systems. Specializes in Python, machine learning, and frameworks like TensorFlow and PyTorch, optimizing workflows and decision-making. Delivers high-performance applications using React, Node.js, and Django, integrating processes with REST APIs and ensuring system reliability across AWS and Azure.
Skills
- Programming Frameworks
- Machine Learning Tools
- Database Management
- Cloud Infrastructure
- Development Practices: Agile, Lean, Design Thinking (For Product And System Optimization), Ci/Cd Pipelines (Gitlab, Jenkins), Restful Apis, Graphql, Microservices Architecture
- Development Methodologies
- Team Collaboration
- Event-Driven Architecture
- Collaboration & Mentorship: Cross-Functional Team Collaboration (Product Managers, Designers, Qa), Mentorship And Team Development, Code Reviews, Documentation, Knowledge Sharing
Languages
Education
Biju Patnaik University of Technology (BPUT)
Master of Computer Science · Computer Science · Rourkela, India
Fakir Mohan University
Bachelor of Computer Applications · Computer Applications · Balasore, India
Statistics
Experience
Expertise
Qualifications
Frequently asked questions
Have questions? Find more information here.
Mahaparasad is based in Bhadrak, India and can operate in on-site, hybrid, and remote work models.
Mahaparasad speaks the following languages: Hindi (Native), English (Advanced).
Mahaparasad has at least 7 years of experience. During this time, Mahaparasad has worked in at least 3 different roles and for 5 different companies. The average length of individual experience is 2 years and 6 months. Note that Mahaparasad may not have shared all experience and actually has more experience.
Based on recent experience, Mahaparasad would be well-suited for roles such as: Senior AI Full-Stack Engineer, AI Full-Stack Engineer, Full-Stack Developer.
Mahaparasad's most recent position is Senior AI Full-Stack Engineer at DPR Solutions Inc.
In recent years, Mahaparasad has worked for DPR Solutions Inc, Deloitte, Google, and Tata Consultancy Services.
Mahaparasad is most experienced in industries like Information Technology, Professional Services, and Banking and Finance.
Mahaparasad is most experienced in business areas like Information Technology and Product Development.
Mahaparasad has recently worked in industries like Information Technology and Professional Services.
Mahaparasad has recently worked in business areas like Information Technology and Product Development.
Mahaparasad holds a Master in Computer Science from Biju Patnaik University of Technology (BPUT) and a Bachelor in Computer Applications from Fakir Mohan University.
Mahaparasad is immediately available full-time for suitable projects.
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Calculated based on our freelancers’ daily rates as of 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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