Angelo K.
AI and Data Science , Operations
(214) GO-RELAY / (214) 467-3529
Careers@RelayHumanCloud.com
Ahmedabad, India
SKILLS
- AI Proficient
- AWS
- Python
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- GCP
- Docker
- CI/CD Pipelines
- Large Language Models (LLM)
- Data Structures and Algorithms
- System Design
- Flask
- FastAPI
EDUCATION
Bachelor of Technology (Electronics and Communication)
Bhagalpur College of Engineering (2024)
ASSESSMENTS
PERSONALITY
ENTJ-A
People with ENTJ as a personality type are natural leaders. They are charismatic and confident, driving teams toward common goals with strategic thinking and discipline.
PROFESSIONAL SUMMARY
Detail-oriented Azure AI Foundry Engineer with hands-on experience in developing AI-driven workflows and large-scale automation systems. Adept in building context-aware AI pipelines, optimizing backend services, and deploying efficient AI models in production. Strong expertise in utilizing Python, cloud technologies (AWS, GCP), and machine learning frameworks. Proven track record in reducing system inefficiencies, improving deployment reliability, and enhancing the overall performance of AI solutions. Passionate about leveraging AI to solve complex problems and streamline operations.
PROFESSIONAL EXPERIENCE
Generative AI Engineer
Loqo.ai | India | Oct 2024 - Jan 2026
- Developed an Agentic AI pipeline using the Crew AI framework to automate cinematography for long-form video generation.
- Created a modular prompt chaining architecture, enabling context-aware inter-agent communication, improving video editing automation.
- Utilized Python libraries (FFmpeg, MoviePy) for audio and video processing, streamlining video production workflows.
- Built a campaign tracker platform for marketing agencies, enabling seamless campaign management and brand alignment.
- Scaled backend services on DigitalOcean, containerized workloads using Docker, and integrated AWS SQS, reducing server response time by 40%.
- Implemented automated CI/CD pipelines using GitHub Actions, improving deployment speed and reliability.
AI Intern
Techolution | India | Jul 2024 - Oct 2024
- Contributed to the migration of large legacy codebases by developing AI agents for automated code conversion and structural refactoring, increasing efficiency.
- Automated unit testing with AI assistants, reducing manual test-writing efforts and improving test coverage.
- Researched and collaborated on advanced prompt engineering strategies using Claude and Gemini models, reducing hallucinations by 20%.
PROJECTS
AI-Powered Coffee Service Chatbot
Tools & technologies: Python, FastAPI, Vue.js, Vertex AI, Pinecone VectorDB, DynamoDB
- Designed and implemented a full-stack multi-agent conversational AI system integrating Gemini LLM with chain-of-thought prompting for reasoning and RAG for factual knowledge retrieval, significantly reducing model hallucinations.
- Developed an Apriori-based recommendation engine for contextual decision-making.
Medical LLM Fine-tuning
Tools & technologies: Python, HuggingFace, Unsloth, DeepSeek-R1
- Fine-tuned DeepSeek-R1 8B LLM on a medical reasoning dataset, enhancing diagnostic question-answering accuracy for clinical case-style tasks.
Multi-Persona AI Agent
Tools & technologies: Python, OpenAI, LangChain, LangGraph, Streamlit, FastAPI
- Developed a context-aware AI agent using LangGraph state-machines to enable dynamic role-playing. The system adapts its tone and reasoning style in real-time based on user-assigned personas.
WisdomHub
Tools & technologies: Python, Flask, Vue.js, Gemini 2.0, Pinecone, BGE Embeddings, GraphQL, SQLite
- Designed and developed a full-stack multi-agent GenAI system combining Chain-of-Thought prompting with RAG to deliver course-aware, ethically aligned academic assistance.
- Developed a context-aware chatbot for students to chat contextually over video transcripts, access intelligent study recommendations, and track academic progress.
