AI Engineer, Full stack developer

SHANKARLING SHAHAPETI

Associate IT Consultant ITC Infotech

EMAIL: **************@*****.***

MOBILE: +91-701*******

LINKEDIN: Link

LOCATION: Bangalore, KA

Targeting Full-Stack Developer & AI Engineer roles within product-driven or innovation-led organizations, leveraging expertise in ReactJS, TypeScript, Python, Agentic AI workflows, LLM tool-calling architectures, & scalable front-end/back-end integration to build intelligent, high-performance, & user-centric digital solutions aligned with evolving enterprise & AI ecosystems.

PROFILE SUMMARY

AI-integrated Full-Stack Engineer with 4.5 years of experience architecting intelligent, scalable web applications by combining modern front-end ecosystems with agentic LLM-driven systems.

Specialized in designing production-grade conversational AI workflows leveraging LLM tool-calling frameworks, contextual memory handling, and schema-driven orchestration for enterprise environments.

Strong systems thinker with expertise in building API-first architectures, enabling seamless integration between UI layers, middleware services, and intelligent automation engines.

Proven skills to modernize legacy platforms into performance-optimized, secure, and user-centric digital systems aligned with enterprise design standards and scalability benchmarks.

Competent at translating product vision into technically sound application blueprints, ensuring high code quality, modular architecture, and deployment readiness within Agile delivery models.

Earned Wall of Fame recognition (Nov’23) for successfully leading the migration from Node.js v14 to v18, strengthening application performance, stability, and cross-team development efficiency.

Recognized for driving measurable application efficiency improvements, enhancing digital adoption, and contributing to AI- powered user experience transformation initiatives in global technology environments. CORE COMPETENCIES

Agentic AI Application

Development Conversational AI Systems

Application Modernization &

Redesign

LLM Tool-Calling Architecture

ReactJS-Based Front-End

Architecture

Performance Optimization &

Scalability

Enterprise Web Application

Engineering API-Driven System Integration

Secure Role-Based Access

Implementation

TECHNICAL SKILLS

Programming: HTML, CSS, JavaScript, React, Python, Node.JS, FastAPI, SQL, RAML, Java, C, TypeScript

Databases: MySQL, PHPMyAdmin

Tools: WebPack, Babel, Sumo Logic, Npm, Postman, JSON Schema, Jenkins, IntelliJ, VS Code

Testing: React Testing Library, Jest

Integration: RESTful APIs, GraphQL, Mulesoft, Anypoint Studio

Version Control: Git

UI Frameworks: Redux, Material UI, ChakraUI, Bootstrap SOFT SKILLS

Stakeholder Communication

Cross-Functional Collaboration

Analytical Problem Solving

Product-Oriented Thinking

Requirement Interpretation & Translation

Agile Adaptability

EDUCATION

Bachelor of Engineering (B.E.) – Computer

Science Engineering

Gogte Institute of Technology, Belagavi, Karnataka 2021

CERTIFICATIONS

Namaste React Certification 2024

MuleSoft Certified Developer – Level 1 2021

Kodnest Java Certification 2021

WORK EXPERIENCE

ITC Infotech (Samsung Research Bangalore)

Associate IT Consultant June 2025 – Present

Project: Samsung Bixby Voice Assistant Role: Assistant AI Engineer

Engineering agentic AI workflows for Samsung Bixby, enabling dynamic interpretation of complex user intents and autonomous orchestration of external APIs through advanced LLM tool-calling architectures.

Architecting robust tool-invocation frameworks using TypeScript, JSON Schema, and fine-tuned LLM models to support multi-step conversational task execution.

Designing resilient error-handling and fallback mechanisms to ensure seamless API execution, strengthening conversational reliability and runtime stability.

Enhancing contextual memory management capabilities to support accurate multi-turn dialogue continuity and sequential tool execution.

Collaborating with cross-functional AI, platform, and product engineering teams to optimize conversational intelligence pipelines and elevate overall assistant responsiveness. NTT Data

Digital Technology Analyst September 2021 – June 2025 Roles:

Acted as a key technical contributor within cross-functional Agile squads, driving end-to-end front-end engineering deliverables across enterprise logistics platforms.

Translated business & operational requirements into scalable React-based UI solutions aligned with enterprise design systems.

Directed code governance initiatives including structured pull request evaluations to enforce architectural consistency and development standards.

Partnered closely with Product, UI/UX, and backend engineering teams to ensure seamless API consumption and feature alignment with business objectives.

Contributed to system enhancements, production issue resolution, and iterative platform upgrades to sustain high application reliability.

Projects:

Transportation Management System (TMS)

Tech Stack: ReactJS, Python, Material UI

Spearheaded the front-end transformation of a legacy transportation platform, delivering a modernized UI framework that improved customer interaction metrics by 20–30%.

Re-engineered application workflows to enhance dispatch visibility, tracking accuracy, & reporting clarity within supply chain operations.

Implemented standardized Material UI components to ensure design uniformity & improve maintainability across modules.

Optimized component rendering strategies to strengthen responsiveness and overall system performance. Organization Portal Development

Tech Stack: ReactJS, Redux, Chakra UI, React Router, AWS Code Commit, Jest

Designed & deployed a centralized web portal that replaced multi-sheet Excel processes with an automated, role-driven digital interface.

Built data visualization dashboards that reduced manual analysis effort by 50% while enabling faster executive-level insights.

Integrated secure authentication mechanisms using JWT and enforced role-based access to safeguard enterprise data.

Enhanced platform efficiency through lazy loading implementation and performance tuning techniques.

Established real-time synchronization between UI and backend data sources, reducing operational discrepancies by 60%.

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