Hi, I’m Balagopal Bhallamudi, an AI/ML Engineer with over seven years of experience delivering production-ready AI solutions across telecom, healthcare, and enterprise domains. I enjoy turning complex data into scalable, real-world systems and collaborating with cross-functional teams to bridge research and engineering. I am passionate about AI for network automation, edge intelligence, and predictive analytics, and I love building robust pipelines and deploying models that drive measurable impact. I have led multi-discipline projects from forecasting and NLP to computer vision and on-device AI, consistently delivering results through agile practices, clear communication, and a bias toward practical, customer-focused outcomes.

Balagopal Bhallamudi

Hi, I’m Balagopal Bhallamudi, an AI/ML Engineer with over seven years of experience delivering production-ready AI solutions across telecom, healthcare, and enterprise domains. I enjoy turning complex data into scalable, real-world systems and collaborating with cross-functional teams to bridge research and engineering. I am passionate about AI for network automation, edge intelligence, and predictive analytics, and I love building robust pipelines and deploying models that drive measurable impact. I have led multi-discipline projects from forecasting and NLP to computer vision and on-device AI, consistently delivering results through agile practices, clear communication, and a bias toward practical, customer-focused outcomes.

Available to hire

Hi, I’m Balagopal Bhallamudi, an AI/ML Engineer with over seven years of experience delivering production-ready AI solutions across telecom, healthcare, and enterprise domains. I enjoy turning complex data into scalable, real-world systems and collaborating with cross-functional teams to bridge research and engineering. I am passionate about AI for network automation, edge intelligence, and predictive analytics, and I love building robust pipelines and deploying models that drive measurable impact.

I have led multi-discipline projects from forecasting and NLP to computer vision and on-device AI, consistently delivering results through agile practices, clear communication, and a bias toward practical, customer-focused outcomes.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate

Language

English
Fluent

Work Experience

Staff Engineer (Research and Development) at Akeso Eye Care Beijing, China
April 1, 2024 - Present
Developed ensemble multimodal demand forecasting and SARIMAX-based sales forecasting for Apollo Pharmacy; store-wise performance predicted with LSTM; agile project execution; pipeline built with Eye Tracking Glasses, Trino, Apache Airflow; results visualized with Seaborn and Gradio.
Tech Lead : Data Scientist at The Retail Insights
October 1, 2023 - April 1, 2024
Led sales and demand forecasting using multimodal models; implemented SARIMAX for medicine-level forecasts; store-wise performance predicted with LSTM; applied MAE-based evaluation; followed AGILE methodology; data pipeline integrated with eye-tracking glasses, Trino and Airflow; visualizations with Seaborn and Gradio.
Product Implementation Head at Waterlabs AI
May 1, 2022 - September 30, 2023
Automated ICD-10 coding with a DL model to map diagnoses/codes from crawled ICD/CPT data; defined and maintained coding rules for modifiers and diseases; built NER model using spaCy for ICD classification; developed text feature extraction and ICD keyword-based predictions.
AI ML Engineer at Waterlabs AI
August 1, 2020 - May 31, 2022
Image-to-text extraction from documents using OCR; deployed IVR-based validation for Medicare insurance claims; developed LASIT text BOT automation using OpenCV/TensorFlow for document processing; contributed to US patent and knowledge graph integration.
Research Assistant at Chang Gung University – Taipei, Taiwan
September 1, 2014 - February 29, 2020
Conducted AI-driven resource scheduling and network automation research for 5G/NB-IoT; designed intelligent channel allocation using graph theory and reinforcement learning; built cyber-physical automation framework for CPS; explored AI-enabled baseband signal processing for low-latency 5G/6G systems.
Research Engineer: Full Stack Development at Nubeify
August 1, 2017 - February 28, 2019
Developed beauty recommendation application with virtual consultations and product recommendations; contributed to front-end and back-end development for full-stack solution.

Education

Ph.D. (Discontinued) at Chang Gung University, Taiwan
January 1, 2014 - January 1, 2020
M.Tech in Computer Science at IIIT Bhubaneswar, India
January 1, 2011 - January 1, 2013
B.Tech in Computer Science and Engineering at Swarnandhra College of Engineering (JNTU-K), India
January 1, 2007 - January 1, 2011

Qualifications

METHOD AND SYSTEM FOR PRIORITY-BASED RESOURCE SCHEDULING WITH LOAD BALANCING
November 4, 2022 - January 6, 2026
BOT PROCESSING AUTOMATION USING KNOWLEDGE BASE IN CONTEXTUAL ARTIFICIAL INTELLIGENCE
January 1, 2021 - January 6, 2026
SYSTEM AND METHOD FOR NODE BASED BOT PROCESSING AUTOMATION
September 1, 2021 - January 6, 2026

Industry Experience

Telecommunications, Healthcare, Retail, Software & Internet, Education