AI Engineer with 2+ years in Generative AI & Machine Learning.
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Generative AI Engineer with 2+ years of experience building production LLM applications using Python, LangChain, and FastAPI. Specializes in designing RAG pipelines and prompt engineering workflows, integrating vector databases for semantic search, and deploying containerized AI services achieving 85% to 87% retrieval accuracy across enterprise deployments. Strong foundation in REST APIs, cloud basics, and AI/ML fundamentals, with a proven track record shipping reliable, production-grade generative AI systems.
Amity University Noida
Bachelor of Technology · Computer Science
N/A – June 30, 2024
C Simplify IT
Full Stack Engineer
May 1, 2025 – May 31, 2026
India
DataFlow Group
Software Developer
July 1, 2024 – December 31, 2024
India
Salesforce
Developer Intern
May 1, 2023 – August 31, 2023
India
DocuMind AI | Intelligent Document Analysis System
June 1, 2026 – Present
Built a production Python RAG system using LangChain and FAISS, designing and optimizing AI prompts and implementing model evaluation workflows to process 1,000+ PDFs at 87% answer accuracy, reducing irrelevant results by 45% via cross-encoder re-ranking. Integrated Hugging Face machine learning models into the retrieval pipeline, applying ML fundamentals to improve response accuracy and relevance. Containerized the FastAPI microservice with Docker, integrated Redis caching, and configured a CI/CD pipeline with GitHub Actions on AWS EC2, sustaining 500+ concurrent queries at sub-2-second response time.
View ProjectAuditFlow | Enterprise Audit Management System
June 1, 2026 – Present
Built a full-stack distributed platform using Django REST Framework, React.js, and PostgreSQL, implementing role-based access control, JWT authentication, and concurrency-safe session management across end-to-end workflows. Engineered real-time collaboration using Django Channels and WebSockets with Redis-backed caching and Celery async task processing, addressing concurrent multi-user access patterns and proposing scalable improvements for system reliability. Orchestrated microservices deployment using Docker Compose across backend, frontend, PostgreSQL, and Redis containers with AWS S3 integration, applying container orchestration principles transferable to Kubernetes-based production environments.
View ProjectTheMistriHub | E-Commerce Platform
June 1, 2026 – Present
Designed a React (TypeScript) SPA with Firebase backend supporting 500+ real-time product listings with instant search and filtering, managed via Git version control. Reduced frontend load time by 25% through lazy loading, code splitting, and component optimization, and containerized the build with Docker to streamline deployment, cutting initial page render from 3.2s to 2.4s.
View ProjectWeb Development Bootcamp
Udemy
June 1, 2026 – Present
Data Analysis
Microsoft/LinkedIn
June 1, 2026 – Present
Python for Data Science
NPTEL
June 1, 2026 – Present
Machine Learning with Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-driven document analysis to enterprise audit systems and e-commerce platforms, indicates adaptability and a broad interest in different problem domains. Their experience in both full-stack development and specialized AI engineering roles suggests a versatile skill set. The focus on production-grade systems, performance optimization, and CI/CD aligns well with a culture that values robust, scalable, and efficient solutions. The proactive learning through certifications also points to a growth-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through optimizing API latency, resolving data flow bottlenecks, and improving application reliability. Their experience in collaborating with cross-functional teams and translating business requirements into technical specifications indicates good teamwork and communication. The proactive pursuit of certifications and advanced super badges highlights a self-directed learning attitude and commitment to continuous improvement.