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Christiano C.

AI and Data Science , Information Technology , Operations

call   (214) GO-RELAY / (214) 467-3529

email   Careers@RelayHumanCloud.com

home   Ahmedabad, India


SKILLS

  • Azure AI Foundry
  • Python

  • Machine Learning

  • Deep Learning
  • Natural Language Processing

  • Numpy

  • Pandas
  • Scikit-Learn
  • HuggingFace Hub
  • LangChain
  • FAST API
  • Ollama
  • AWS

  • Git

  • GitHub

EDUCATION

Master of Technology in computer Science

Birla Vishvakarma Mahavidyalaya Engineering College, Gujarat (2021)

Bachelor of Engineering

Govt. Engineering College, Gujarat (2021)


ASSESSMENTS

CORE SKILL English Aptitude AzureAIFoundryEngineer 0 100

PERSONALITY

INFJ-A

Extraverted Introverted Intuitive Observant Thinking Feeling Judging Prospecting

People with INFJ as a personality type are idealistic and driven by a desire to help others. They seek fulfillment through meaningful, ethical endeavors, contributing to the greater good.

PROFESSIONAL SUMMARY

Experienced Software Engineer specializing in AI-driven automation and cloud-based solutions. Proven track record in optimizing processes, reducing manual effort, and enhancing efficiency by integrating LLMs and cloud technologies. Skilled in developing scalable applications for banking, training, and media localization using AWS and Azure, delivering significant time savings and consistent, high-quality results.

PROFESSIONAL EXPERIENCE

AI Engineer
Relay Human Cloud | Ahmedabad, India | Apr 2025 - Present

  • Designed and implemented AI-based tools to streamline HR, compliance, and finance workflows.

  • Built LLM-powered chatbots and document intelligence systems to enhance operational efficiency.

  • Collaborated with product and engineering teams to train AI models on domain-specific documents and optimize prompt performance.

  • Focused on automation, standardization, and intelligent data access to reduce manual workload and support scalable operations.

Key AI Projects:

  1. AI Job Description Writer
    Developed a generative AI solution to automate the creation of engaging, keyword-rich job descriptions.
    Impact: Reduced hiring manager workload, standardized postings, and improved applicant quality.
    Status: Ready for deployment on Relay Central.
  2. Standards Bot
    Built an AI chatbot trained on organizational SOPs and internal standards to deliver instant, accurate answers to employee queries.
    Impact: Improved compliance, reduced document search time, and ensured access to updated policies.
    Status: Static data integrated; live database connection in progress.
  3. Loan Agreement Document Analyzer
    Designed an AI solution that extracts key data (e.g., interest rates, borrower info) from loan agreements and enables retrieval via chatbot.
    Impact: Eliminated manual data extraction, accelerated loan processing, and reduced error rates.
    Status: UI development underway.

Jr. Data Scientist
Valens Datalabs Pvt Ltd | India | Sep 2023 - Mar 2025

  • Developed an LLM-powered risk profiling web application that automated and streamlined the manual profiling of entities involved in banking transactions, reducing processing time from 60 minutes to 15 seconds.

  • Leveraged Bing Advanced Search API, Mistral 7B-Instruct-v0.2, and Azure services (Virtual Machine, App Service) to enhance the web application’s functionality and efficiency.

  • Designed a RAG-based Q&A and learning system for new trainees in a food manufacturing plant, eliminating the need for constant one-on-one human training and significantly reducing training overhead.

  • Implemented context-aware responses with source references and timestamped video guides, optimizing the learning process for new employees.

  • Utilized GPT-4-32k, Text embedding-3-large, Azure AI Search, and Azure AI Video Indexer to build and deploy the learning system.

  • Developed a cultural-accurate English-to-Indonesian subtitle translation API, automating a multi-hour subtitle localization process and reducing translation time to seconds.

  • Engineered a two-stage Lambda workflow using AWS API Gateway and Lambda to increase scalability and consistency in media localization, improving the overall quality and speed.

  • Used AWS Bedrock (Claude Sonnet 3.5 v2), API Gateway, Lambda, and S3 to deploy the translation service.

  • Created a high-performance API for generating transcripts, summaries, sentiment analysis, diarization, PII masking, and politeness detection for customer care call audio files, processing 9000 hours of audio per day.

  • Applied Llama 3.1 8b, AWS g4dn.2xlarge instance, xlm-roberta-large-tydip, and pyannote/speakerdiarization-3.1 to build the processing pipeline.