Vibhav Jaiswal
Open to work19 years experienceApplied AI/ML Engineer
Applied AI/ML Engineer | LLM & Backend Developer
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
9 skillsWork Experience
Applied AI/ML Engineer
Independent Projects
- Designed and implemented AI applications using Python, FastAPI, REST APIs, and backend workflow integrations
- Built RAG pipelines including document ingestion, embeddings, vector retrieval, indexing, and structured response workflows
- Developed conversational AI systems using backend orchestration and deployment-oriented integration workflows
Deputy Manager
Toshiba JSW Power Systems Pvt. Ltd.
- Applied Python-based analysis and automation for predictive maintenance and operational efficiency improvement
- Developed reporting workflows and analytical models for performance monitoring and operational efficiency across large-scale systems
- Used SQL and time-series data analysis for operational insights and decision support in complex engineering environments
Assistant Manager
L&T-Sargent & Lundy Limited
- Utilized data analytics to optimize planning, procurement, and project coordination processes across complex engineering operations
- Improved workflow efficiency through structured data analysis and process improvements for scalable and sustainable outcomes
Projects
RAG Assistant
View Project- Developed end-to-end RAG assistant using OpenAI APIs, Pinecone, and backend retrieval workflows
- Built document ingestion, chunking, embedding, indexing, and vector retrieval pipelines for contextual search
- Designed prompt templates and implemented structured parsing to generate accurate, context-aware LLM responses
- Improved retrieval quality and response accuracy through evaluation, prompt tuning, and iterative optimization
AI-Powered Tattoo Booking and Consultation Platform
View Project- Built AI-powered booking and recommendation system using Python and REST APIs for scalable user applications
- Integrated chatbot for user interaction and consultation workflows to enhance engagement and improve user experience
- Developed backend logic for scheduling, API orchestration, and user interaction handling across application components
- Designed system flow for request handling, response generation, and seamless user interaction across application lifecycle
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Achievements Not Earned
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About Details
Professional Bio
Applied AI/ML Engineer with expertise in LLM, RAG systems, and backend development. Experienced in designing and implementing scalable AI applications and data-driven operational solutions.
Post Graduate Program in Data Science and Business Analytics
The University of Texas at Austin – McCombs School of Business ( - Present)
Master of Data Science (Global) in Data Science
Deakin University, Melbourne, Australia ( - Present)
Applied Generative AI Specialization in Generative AI
Purdue University ( - Present)