Maragoni Venkatesh
Open to work0 years experienceAI Engineer
AI Engineer | Gen AI | Agentic AI | LLM-powered Applications
Standing Rank
Rank Not Available
Developer Badges
Skills & Technologies
46 skillsWork Experience
Digital Marketing Intern
Royalads Agency
- Analyzed 50+ competitor campaigns to optimize Google Ads targeting, increasing high-intent inquiries to the sales pipeline by 15%.
- Accelerated ad-copy variations by structuring optimized input text for data processing, reducing asset creation time by 30% while ensuring factually accurate results.
Projects
Context-Aware Chat Application
- Architected a long-term memory and semantic search pipeline using LangChain, ChromaDB, and HuggingFace embeddings for top-k historical context retrieval.
- Deployed Groq's Llama-3.3-70B model via an interactive Streamlit interface for fast, real-time, context-aware chat completions.
Custom Traced RAG System
- Developed a long-term memory system using LangChain, ChromaDB, and HuggingFace embeddings to inject historical context into prompts.
- Deployed Groq's Llama model to power a fast, context-aware chat interface built seamlessly with Streamlit.
Multi-Agent Research Engine
- Engineered an asynchronous CrewAI and Gemini multi-agent workflow to automate research, synthesis, and educational assessment tasks.
- Organized a sequential pipeline of Researcher, Teacher, Simplifier, Student, and Examiner agents equipped with SerperDevTool for real-time web search.
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
Digital Marketing Optimization
Analyzed 50+ competitor campaigns to optimize Google Ads targeting, increasing high-intent inquiries to the sales pipeline by 15%.
Ad-copy Efficiency Improvement
Accelerated ad-copy variations by structuring optimized input text, reducing asset creation time by 30%.
About Details
Professional Bio
AI Engineer specializing in LLM-powered applications, RAG systems, and multi-agent workflows. Experienced in developing context-aware pipelines, tool integration, and model evaluation. Skilled in Python, LangChain, and various Generative AI frameworks.
B.Tech in Computer Science & Engineering
(2020 - Present)