AI Engineer with 1+ years in NLP, LLM Integration & Agentic AI Systems
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AI Engineer and Computer Science Engineering graduate (CGPA: 9.05, 2025) with hands-on experience in Python-based AI/ML development, NLP pipelines, LLM integration, API development, and Agentic AI concepts. Experienced in designing and deploying scalable AI-powered applications, building autonomous data-processing agents, implementing RAG pipelines, and integrating LLMs with APIs and databases. Skilled in multi-agent workflow design, backend microservice development, and AI system testing and deployment. Collaborative, customer-focused, and production-oriented – ready to build and deploy next-generation Agentic AI systems at Cognizant.
AMC Engineering College
B.E. · Computer Science & Engineering
August 1, 2021 – June 30, 2025
Wipro
NLP & AI Engineer Intern
January 1, 2025 – Present
Bengaluru, Karnataka, India
Oneyess Infotech
Full-Stack AI Application Intern
December 1, 2024 – December 31, 2024
Bengaluru, Karnataka, India
RedHat
System Administration Intern
July 1, 2024 – July 31, 2024
Bengaluru, Karnataka, India
Crop Recommendation System
June 1, 2026 – Present
Designed and deployed end-to-end AI system on AWS EC2 – built scalable Python ML backend with REST API layer, integrated with data stores, optimised model performance & latency in production; implemented monitoring and testing best practices.
AI-Powered Twitter Sentiment Analyzer
June 1, 2026 – Present
Built an Agentic AI-style autonomous pipeline to ingest, process, classify, and analyse large text datasets using NLP and LLM-pattern techniques – implemented RAG-style retrieval and reporting, integrated with SQL database backend for structured output storage.
Cyber Kill Chain Strategy Simulator
June 1, 2026 – Present
Developed a multi-agent simulation system using Python – each agent autonomously planned, reasoned, and executed actions in a defined workflow, mirroring Agentic AI orchestration and multi-agent pipeline design patterns.
Pharmacy Management System
June 1, 2026 – Present
Built enterprise-grade backend system with API integrations, database connectivity, and scalable microservice architecture – ensured data reliability, access control, and high-performance query optimisation for operational use.
AWS Cloud Architecture
Amazon
June 1, 2026 – Present
RedHat System Administration
RedHat
June 1, 2026 – Present
Deepfake Detection
Great Learning
June 1, 2026 – Present
Databases & Filesystems in AWS
Amazon
June 1, 2026 – Present
Data Science
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and practical application in AI/ML, NLP, and agentic AI, which aligns well with an AI Engineer role. The diversity of projects (sentiment analysis, crop recommendation, cyber kill chain simulator, pharmacy management) shows a broad application of AI concepts. The certifications in AWS, RedHat, and Data Science further indicate a proactive learning attitude and a desire to acquire relevant industry skills. The experience with different companies (Wipro, Oneyess Infotech, RedHat) suggests adaptability and exposure to various work environments.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences highlight collaboration with Data Science, Engineering, and Product teams, suggesting good teamwork and communication skills. The focus on 'production-ready AI tools' and 'monitoring and testing best practices' indicates an operational mindset. The 'customer-focused' and 'production-oriented' self-description aligns with a practical, results-driven approach.