Highly accomplished AI Cloud Engineer and Software Developer with over 2 years of experience in designing, developing, and deploying cutting-edge AI/ML solutions and scalable cloud infrastructure. Proven expertise in machine learning, deep learning, NLP, and MLOps, with a strong track record of building high-performance systems, optimizing server resources, and integrating complex payment gateways. Adept at leveraging advanced technologies like LLMs, Kubernetes, and PyTorch to drive significant business impact and enhance operational efficiency.
AI Cloud Engineer
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Summary
Leading cloud engineering initiatives to build scalable AI infrastructure and optimize system performance.
Highlights
Engineered and integrated FusionAuth with Krutrim Management Dashboard, establishing robust Role-Based Access Control (RBAC) across diverse organizational structures to enhance security and access management.
Orchestrated the deployment of a comprehensive Observability Stack, leveraging Grafana-Postgres HA in Kubernetes, to provide real-time monitoring and performance insights for K8s, OpenStack, and Ceph clusters, utilizing VictoriaMetrics for data collection.
Optimized open-source Large Language Models (LLMs) via LoRA on a dataset of 5,000 Jira tickets, resulting in the development of an AI-powered chatbot that automates and resolves L1 team support queries, improving efficiency.
Software Developer (AI/ML)
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Summary
Developed and deployed advanced AI/ML solutions, including chatbots, recommendation engines, and forecasting models, enhancing product capabilities and operational efficiency.
Highlights
Architected and developed a Generative AI chatbot incorporating conversational memory and Retrieval Augmented Generation (RAG) strategy, utilizing React-RTK for the frontend and Python Fast API for the backend.
Designed and implemented a high-accuracy recommendation engine using Transformers and PyTorch, achieving 87% prediction accuracy for auto-completing financial queries by training on a proprietary 50K+ Fintech dataset.
Engineered Time-Series Forecasting models that achieved 92% prediction accuracy for document upload and download patterns, significantly optimizing server resource allocation and efficiency.
Seamlessly integrated Stripe Payment Gateway and Stripe Connect APIs, streamlining and securing fund transfers across diverse user accounts.
Published by
2022 IEEE 13th Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
Summary
Published research on predicting Reddit comment toxicity scores using a BERT-based Transformer architecture, presented at the 13th IEEE IEMCON.
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Bachelor of Engineering
Data Science and Artificial Intelligence
Grade: 8.56 CGPA
Courses
Machine Learning Algorithms
Deep Learning Architectures
Natural Language Processing
Cloud Computing Fundamentals
Data Structures & Algorithms
Database Management Systems
Artificial Intelligence Principles
Big Data Technologies
Awarded By
IIIT, Naya Raipur
Achieved first place in the Data Science and ML Track at the Industry Academia Meet.
Awarded By
HackForTomorrow
Recognized with a prize in the Filecoin track at the HackForTomorrow event.
Awarded By
Shell.ai Hackathon
Ranked among the top 50 teams in the Shell.ai Hackathon for Sustainable and Affordable Energy.
Awarded By
JEE Advance
Successfully cleared the Joint Entrance Examination (JEE) Advance with a rank of 20,000.
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Summary
Implemented a deep learning recommendation system using a Two-Tower neural architecture in PyTorch, incorporating negative sampling techniques. Built custom dataset handlers and efficient training pipelines that process user demographics and item metadata to deliver personalized Top-N recommendations through vector similarity matching.
Programming Language, Frontend Development.
Programming Language, Data Science, Machine Learning.
Programming Language, Backend Development.
Programming Language, Frontend Development.
Blockchain, Smart Contracts.
Frontend Framework, React.
Backend Framework, Node.js.
Machine Learning Framework, Deep Learning.
Machine Learning Framework, Deep Learning.
LLM Development, AI Framework.
Machine Learning Library, Data Analysis.
Data Manipulation, Data Analysis.
Distributed Messaging, Data Streaming.
Big Data Processing, Distributed Computing.
Relational Database, SQL.
Database, MongoDB, Cassandra.
Vector Database, Embeddings.
AI, Algorithms, Predictive Modeling.
Neural Networks, CNN, RNN, Transformers.
Text Analysis, Language Models.
Generative AI, Fine-tuning.
Generative AI, Information Retrieval.
Cloud Computing, Cloud Services.
Serverless Computing, AWS Lambda.
Cloud Computing, Microsoft Azure.
Containerization, DevOps.
Web Server, Reverse Proxy.
Container Orchestration, DevOps.