I am a software engineer with over 5 years of industry experience, passionate about machine learning, cloud computing, and blockchain technologies. I hold a master's degree in computer science from Iowa State University, where I focused my research on the applications and challenges of graph neural networks.
Developed and implemented automated solutions for customer support, leveraging a RAG-based agentic framework and function similarity with attachment hierarchies to significantly reduce manual effort and task resolution time
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Fine-tuned various LLMs (Qwen, GPT-OSS, Mistral) using supervised fine-tuning to improve response quality for Excel and text inputs using unsloth. Developed an efficient inference framework with vllm.
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Utilized langgraph to create agentic framework for multi-comment support tickets helping in understanding which attachment to use and how to merge the attachments to resolve customer support tickets.
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Successfully processed varied unstructured data (Text, Images, Excel, PDF), efficiently extracting essential information to accelerate the resolution of targeted customer support issues.
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Utilized PGvector with L2 similarity search and keyword search to accurately analyze customer messages, retrieve relevant information, and effectively solve customer support issues
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Pioneered initiatives in customer support automation, focusing on reducing time spent on mundane tasks and improving overall efficiency by intelligently utilizing information retrieval and agentic systems
Led the Research and Development efforts to implement a Reinforcement Learning-based solution for optimizing crop drying processes.
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Designed and developed datasets for crop drying procedures, conducting thorough analysis to drive improvements.
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Explored blockchain-based solutions for transaction monitoring, collaborating with Hyperledger BESU and Fabric teams and initiating a private blockchain platform with Blockapps.
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Enhanced C# and Python code to optimize corn drying procedures, improving overall effectiveness.
Led and mentored a cross-functional team of developers, testers, and business analysts to deliver innovative blockchain projects. Technologies included Angular 8, Node.js, Solidity, React Native, AWS, and Azure for AI-based APIs.
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Engineered an OAuth2-based login system using Amazon Cognito and integrated Federated login via Facebook within Angular 8.
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Implemented og-tags for generating shareable URLs on social media platforms using Pug templates in Node.js, enabling server-side rendering.
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Designed and developed a financial investment and crowd-funding social platform integrated with a payment gateway for seamless conversion of USD to blockchain coins (ERC20 Tokens).
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Established a serverless architecture using AWS Lambda for a Blockchain-based REST API application, ensuring scalable and efficient connectivity.
Conceptualized, implemented, and assessed novel models and rapid software prototypes in machine learning to address diverse challenges.
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Applied advanced models, including LSTM, GRU, and Elastic search, to develop a marketing optimization solution, predicting promotions based on historical data.
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Engineered feature sets for model creation, evaluating gradient boosting techniques employing Light GBM and CatBoost models.
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Conducted in-depth analysis of customer behavior, leveraging categorical, continuous, and text analysis to predict optimal promotions and evaluated model performance using metrics such as F1 score and accuracy.
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Employed minhash-lsh and xgboost algorithms for deduplication tasks, generating shingles from text data and calculating minimum edit distances for efficient record matching.
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Devised and implemented deduplication and search algorithms utilizing fuzzy search in Elastic search and xgboost models, optimizing search engine performance.
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Leveraged libraries such as pandas, numpy, pytorch, and nltk to enhance search accuracy and efficiency, ensuring robust outcomes.
