AI Engineer with less than a year in Agentic AI systems, LLM-powered applications, and RAG pipelines
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Assessing your cultural and operational fit
CS graduate with hands-on experience building Agentic AI systems, LLM-powered applications, and RAG pipelines using Python. Practical exposure to prompt engineering, vector search, async processing, and production AI deployment through real shipped projects. Strong backend fundamentals - FastAPI, REST APIs, PostgreSQL, Redis, Docker, and CI/CD. Genuinely passionate about autonomous agents and large language models.
Dr. A.P.J. Abdul Kalam Technical University
B.Tech · Computer Science and Engineering
November 1, 2021 – July 1, 2025
SparrowBytes Fintech Solutions
Software Engineer
August 1, 2025 – February 1, 2026
Gurgaon, Haryana, India
NextFlow Agentic AI Workflow Platform
June 24, 2026 – Present
Designed and shipped an Agentic AI platform end-to-end – LLM-powered autonomous workflows using tools, planning, and memory components; Gemini AI integration with prompt engineering; DAG-based execution engine with async job processing and retry logic. Built and deployed with Docker and CI/CD. A real shipped agentic AI product.
View ProjectDocument AI Intelligence Platform
June 24, 2026 – Present
Built a full RAG pipeline from scratch – OCR-based text extraction and chunking, embedding generation, vector search for retrieval, and LLM-powered Q&A and summarisation. FastAPI backend with async handling for concurrent inference requests. Explicit recovery paths for hallucination and extraction failures. Clean, documented Python codebase.
View ProjectCrypto Sentiment Analysis Platform
June 24, 2026 – Present
Built a production-ready full-stack ML platform for real-time cryptocurrency sentiment analysis – FastAPI backend with async SQLAlchemy/PostgreSQL, JWT authentication, and rate limiting; ML pipeline using TF-IDF and an ensemble of Logistic Regression, Naive Bayes, and Random Forest with 5-fold cross-validation, achieving 92%+ accuracy. Implemented async background model retraining, an analytics dashboard with sentiment trends, and a normalised 4-table schema. Containerised with Docker and Docker Compose, with structured logging and health checks for production reliability.
View ProjectPrinciples of Generative AI
Infosys Springboard
June 1, 2026 – Present
AWS Cloud Practitioner
AWS
June 1, 2026 – Present
DSA with Python
Coding Ninjas
June 1, 2026 – Present
Career Essentials in Software Development
Microsoft & LinkedIn
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse personal projects (Crypto Sentiment Analysis, Agentic AI Workflow, Document AI Intelligence) showcase initiative and a passion for AI/ML, aligning well with an AI Engineer role. The experience at SparrowBytes Fintech Solutions demonstrates adaptability to different industry contexts. The breadth of technical skills, from backend development to MLOps and AI-specific frameworks, indicates a versatile and growth-oriented individual. The certifications further support a proactive learning attitude.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on end-to-end solutions, implement retry logic, handle failure recovery, and maintain CI/CD pipelines, indicating a strong operational mindset. Collaboration in Agile sprints is also mentioned. The English test score of 84 suggests good communication clarity, which is crucial for technical documentation and team interaction.