Hi, I'm Yashwanth, an AI/ML Engineer with over 3 years of hands-on experience designing and deploying scalable machine learning systems. I'm passionate about integrating large language models, computer vision, and natural language processing into real-world applications using cloud platforms like AWS, Azure, and GCP. I enjoy bridging the gap between research and practical engineering to create impactful data-driven solutions. I've worked across various domains including financial analytics, telecommunications, and fraud detection. Whether building retrieval-augmented generation pipelines or fine-tuning state-of-the-art transformer models, I strive to deliver value and improve user experiences through innovative AI technologies.

Yashwanth DIrving

Hi, I'm Yashwanth, an AI/ML Engineer with over 3 years of hands-on experience designing and deploying scalable machine learning systems. I'm passionate about integrating large language models, computer vision, and natural language processing into real-world applications using cloud platforms like AWS, Azure, and GCP. I enjoy bridging the gap between research and practical engineering to create impactful data-driven solutions. I've worked across various domains including financial analytics, telecommunications, and fraud detection. Whether building retrieval-augmented generation pipelines or fine-tuning state-of-the-art transformer models, I strive to deliver value and improve user experiences through innovative AI technologies.

Available to hire

Hi, I’m Yashwanth, an AI/ML Engineer with over 3 years of hands-on experience designing and deploying scalable machine learning systems. I’m passionate about integrating large language models, computer vision, and natural language processing into real-world applications using cloud platforms like AWS, Azure, and GCP. I enjoy bridging the gap between research and practical engineering to create impactful data-driven solutions.

I’ve worked across various domains including financial analytics, telecommunications, and fraud detection. Whether building retrieval-augmented generation pipelines or fine-tuning state-of-the-art transformer models, I strive to deliver value and improve user experiences through innovative AI technologies.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Intermediate

Language

English
Fluent
Hindi
Advanced

Work Experience

AI/ML Engineer at Alliant Group
January 1, 2025 - Present
Developed an AI-powered assistant that interprets financial news, SEC filings, and earnings reports to help analysts quickly understand market events and risks. Implemented a semantic vector search system with FAISS to retrieve relevant content from over 1 million documents. Built a LangChain-based orchestration for complex financial queries and summaries using OpenAI GPT models, reducing research time by 60%. Utilized PostgreSQL for metadata management and optimized queries for low latency at scale. Containerized and deployed the solution on AWS EC2 with serverless API endpoints via AWS Lambda. Implemented continuous monitoring of response quality and latency, and prompt tuning workflows to minimize hallucinations and bias.
AI/ML Engineer at AT&T
December 31, 2024 - July 25, 2025
Created a domain-specific NLP pipeline to classify customer sentiment, requests, and escalation risk from chat logs, calls, and social media. Built a Retrieval-Augmented Generation (RAG) pipeline combining vector search and fine-tuned LLMs for intent-aware customer message summarization. Fine-tuned Hugging Face transformer models on 2 million records, boosting classification accuracy by 31%. Deployed scalable inference services on AWS Lambda and Docker, improving response time by 75%. Automated CI/CD pipelines for daily model retraining and deployment. Developed data visualizations to identify customer pain points enabling rapid operational responses. Added fallback mechanisms for manual review of ambiguous conversations, increasing NPS recovery by 18%.
AI Engineer at Smartron
July 31, 2022 - July 25, 2025
Designed a fraud detection engine with XGBoost and Apache Spark, lowering false positives by 28%. Applied reinforcement learning in anomaly detection for adaptive risk scoring. Created real-time fraud streaming pipelines with Kafka and Spark on Databricks, reducing event response time by 35%. Integrated MLflow and AWS SageMaker for automated model lifecycle workflows. Delivered fraud risk dashboards using Tableau. Conducted post-mortem analyses to improve retraining strategies and supported regulatory audits with detailed model documentation.

Education

Masters at University of North Texas, Denton, TX
January 1, 2022 - December 31, 2024
Bachelors at Gokaraju Rangaraju Institute of Engineering and Technology, CSE, India
January 1, 2016 - December 31, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Financial Services, Telecommunications, Software & Internet, Professional Services