Sai Mukesh Joga
Open to work2 years experienceGenAI Engineer
GenAI Engineer with 2+ years of experience building production-grade AI applications.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
47 skillsWork Experience
Senior Analyst – GenAI Integration & Data Engineering
Capgemini
- Built production-grade GenAI applications using Groq API, Python, and prompt engineering to automate intelligent analytical workflows.
- Designed and implemented Retrieval-Augmented Generation (RAG) pipelines using LangChain, NLP, NLTK, embeddings, and semantic retrieval for context-aware enterprise search.
- Integrated LLMs with enterprise APIs, SQL databases, and external tools through prompt orchestration, tool calling, response validation, and workflow automation.
- Developed scalable Python and SQL pipelines with NLP preprocessing, tokenization, chunking, and data transformation for structured and unstructured AI workloads.
- Built embedding-based retrieval workflows and semantic search pipelines for intelligent document understanding and knowledge retrieval.
- Automated AI-assisted reporting workflows, reducing manual effort by 40% while improving operational efficiency and insight generation.
- Collaborated with cross-functional engineering teams to deploy production-ready AI solutions, maintain pipeline reliability, and deliver high-quality AI applications.
Data Engineer & Production Operations Analyst
Capgemini
- Developed Python and SQL pipelines for enterprise production data, API integrations, and operational analytics.
- Optimized SQL queries and automated reporting workflows to support business intelligence and large-scale analytics.
- Built AI-powered automation workflows using Groq-powered LLMs, Python, and prompt engineering to improve reporting productivity.
Projects
RAG-Based Analytics Assistant
- Developed a Retrieval-Augmented Generation application using LangChain, Groq API, NLP, NLTK, embeddings, semantic search, and vector retrieval to enable context-aware enterprise search and intelligent question answering.
Student Academic Performance Prediction
- Designed an end-to-end machine learning pipeline using SVM, KNN, Python, and Scikit-learn with feature engineering, preprocessing, and model evaluation to predict student performance.
Customer Purchase Behavior Prediction
- Built a Logistic Regression model using Python, SQL, and PySpark to analyze 50K+ customer records, perform predictive modeling, and generate actionable business insights.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
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
Operational Efficiency Improvement
Automated AI-assisted reporting workflows, reducing manual effort by 40% while improving operational efficiency and insight generation.
About Details
Professional Bio
GenAI Engineer with 2+ years of experience building production-grade AI applications, Python pipelines, and intelligent data solutions. Hands-on experience with Groq API, LangChain, RAG, NLP, and LLM-powered workflows. Passionate about developing agentic AI systems and scalable Generative AI.
Bachelor of Technology in Computer Science & Engineering
Godavari Institute of Engineering & Technology (2019 - 2023)