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I am Sri Bhargav Dasari, a software engineer specializing in backend systems, ETL pipelines, and AI/ML-powered data workflows across fintech and analytics. I transitioned from electronics engineering into information science at Missouri S&T, where I developed applied ML expertise in NLP classification, LLM API integration, and large-scale data integration, achieving strong categorization accuracy and meaningful reductions in manual processing. I’m proficient in Python, SQL, FastAPI, and cloud-native tooling, with a track record of building scalable data systems that transform raw multi-source datasets into analytics-ready infrastructure. I have hands-on experience with AWS, Docker, and Spark for production-grade deployment and distributed processing, and I enjoy collaborating with data science and engineering teams to productionize ML data pipelines and downstream risk analytics.…I am Sri Bhargav Dasari, a software engineer specializing in backend systems, ETL pipelines, and AI/ML-powered data workflows across fintech and analytics. I transitioned from electronics engineering into information science at Missouri S&T, where I developed applied ML expertise in NLP classification, LLM API integration, and large-scale data integration, achieving strong categorization accuracy and meaningful reductions in manual processing. I’m proficient in Python, SQL, FastAPI, and cloud-native tooling, with a track record of building scalable data systems that transform raw multi-source datasets into analytics-ready infrastructure. I have hands-on experience with AWS, Docker, and Spark for production-grade deployment and distributed processing, and I enjoy collaborating with data science and engineering teams to productionize ML data pipelines and downstream risk analytics.

Sri Bhargav Dasari

Full Stack Developer, Back-End Developer, Web Developer, +4

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I am Sri Bhargav Dasari, a software engineer specializing in backend systems, ETL pipelines, and AI/ML-powered data workflows across fintech and analytics. I transitioned from electronics engineering into information science at Missouri S&T, where I developed applied ML expertise in NLP classification, LLM API integration, and large-scale data integration, achieving strong categorization accuracy and meaningful reductions in manual processing. I’m proficient in Python, SQL, FastAPI, and cloud-native tooling, with a track record of building scalable data systems that transform raw multi-source datasets into analytics-ready infrastructure. I have hands-on experience with AWS, Docker, and Spark for production-grade deployment and distributed processing, and I enjoy collaborating with data science and engineering teams to productionize ML data pipelines and downstream risk analytics.…I am Sri Bhargav Dasari, a software engineer specializing in backend systems, ETL pipelines, and AI/ML-powered data workflows across fintech and analytics. I transitioned from electronics engineering into information science at Missouri S&T, where I developed applied ML expertise in NLP classification, LLM API integration, and large-scale data integration, achieving strong categorization accuracy and meaningful reductions in manual processing. I’m proficient in Python, SQL, FastAPI, and cloud-native tooling, with a track record of building scalable data systems that transform raw multi-source datasets into analytics-ready infrastructure. I have hands-on experience with AWS, Docker, and Spark for production-grade deployment and distributed processing, and I enjoy collaborating with data science and engineering teams to productionize ML data pipelines and downstream risk analytics.

Available to hire

I am Sri Bhargav Dasari, a software engineer specializing in backend systems, ETL pipelines, and AI/ML-powered data workflows across fintech and analytics. I transitioned from electronics engineering into information science at Missouri S&T, where I developed applied ML expertise in NLP classification, LLM API integration, and large-scale data integration, achieving strong categorization accuracy and meaningful reductions in manual processing.

I’m proficient in Python, SQL, FastAPI, and cloud-native tooling, with a track record of building scalable data systems that transform raw multi-source datasets into analytics-ready infrastructure. I have hands-on experience with AWS, Docker, and Spark for production-grade deployment and distributed processing, and I enjoy collaborating with data science and engineering teams to productionize ML data pipelines and downstream risk analytics.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Work Experience

Software Engineer at Cambridge Mobile Telematics

June 1, 2025 - Present

Built and maintained production data engineering systems for a telematics AI platform processing sensor and behavioral data across millions of IoT devices and drivers globally. Developed Python-based ETL pipelines, improving data throughput consistency by 40% through optimization and schema standardization; built scalable backend data processing services to ingest, transform, and load driver behavior datasets into a unified analytics platform, reducing data processing latency by 35%. Implemented anomaly detection workflows to identify irregular patterns, improving early detection of data quality deviations by 30%. Engineered Spark-based batch processing to handle large-scale telematics data transformations across distributed infrastructure, enabling analytics across 3+ years of historical records. Integrated AWS S3 and Lambda to automate data ingestion triggers and storage, reducing manual pipeline intervention by 50%. Collaborated with data science and engineering teams to productioni

Research Assistant at Missouri University of Science and Technology

January 1, 2025 - June 1, 2025

Developed an NLP-based document intelligence system for automated classification and entity extraction from academic corpora. Built transformer-based text classification pipeline using HuggingFace Transformers to categorize 5,000+ documents by research domain, achieving 89% accuracy on held-out test data. Integrated OpenAI API for zero-shot classification, reducing manual labeling by 50% on low-confidence samples. Developed named entity extraction workflows using spaCy to identify and structure key entities from unstructured text, processing 500+ documents per batch. Automated preprocessing and feature engineering with pandas and NumPy, standardizing inputs from 3 datasets into a unified schema. Evaluated model performance with precision, recall, and F1; improved F1 from 0.81 to 0.89 over 6 experiments.

Software Engineer at DIGITAP.AI

January 1, 2022 - November 1, 2023

Developed and maintained backend API services for a fintech SaaS platform delivering AI-driven onboarding and risk analytics solutions to digital lenders across India. Built RESTful APIs using Python and FastAPI; optimized queries and connection pooling, reducing average API response time by 30%. Implemented data processing modules with MySQL for structured storage, validation, and retrieval of customer financial records across onboarding and risk pipelines; automated data validation to reduce downstream errors by 25%. Dockerized services for staging and production deployments with consistent environments; integrated third-party REST APIs for identity verification and financial data with robust error handling and 99%+ availability. Collaborated with cross-functional teams across 10+ sprints.