Case Studies

Real-world solutions I've delivered that demonstrate my expertise and approach.

Conversation Intelligence Platform

October 20239 months

Challenge

An early-stage startup needed to build a meeting summarization tool from scratch with limited resources.

Solution

I developed a full-stack solution including transcript processing, fine-tuned LLMs, and a scalable web application.

Technologies Used

Next.jsAWS LambdaFastAPIFirebaseGPT-3Recall API

Outcomes

  • Reduced manual meeting note-taking by 95%
  • Enabled successful demos to enterprise clients
  • Built scalable architecture from initial MVP to production
  • Integrated multi-lingual transcription capabilities

Document Processing Automation

August 20233 months

Challenge

Client needed to validate complex documents with regular expressions, requiring tedious manual work.

Solution

Rather than building the requested validation system, I created a form-based solution that transformed Word documents into XML blueprints, automatically generating correct documents.

Technologies Used

PythonXML ProcessingDocument Automation

Outcomes

  • Eliminated need for manual document validation entirely
  • Provided scalable solution for future document types
  • Reduced document processing time by 87%
  • Improved accuracy to near 100%

Custom RAG System for Sales Enhancement

January 20244 months

Challenge

B2B sales team needed AI assistance for identifying product queries and generating effective sales responses.

Solution

Developed a specialized RAG (Retrieval Augmented Generation) system that analyzed conversation contexts and suggested optimal sales responses.

Technologies Used

LangChainVector DatabasesFine-tuned LLMsReact

Outcomes

  • Increased sales conversion rate by 32%
  • Reduced response preparation time by 76%
  • Created system capable of answering 94% of common product questions
  • Built agentic system that could independently handle routine inquiries

Multilingual AI Meeting Assistant

March 20243 months

Challenge

Need for a locally-hostable meeting assistant model that didn't rely on external APIs for organizations with data privacy concerns.

Solution

Fine-tuned Llama 3 model on meeting datasets to create a specialized AI capable of running efficiently on client infrastructure.

Technologies Used

Transformer LibraryTRLLORA AdaptationsQuantization

Outcomes

  • Created model capable of running on CPU environments
  • Enabled processing without external API dependencies
  • Achieved 89% quality compared to leading commercial solutions
  • Implemented efficient architecture for 8-bit quantization

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