NLP Log Analyzer
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Summary
Developed an ML/NLP-based pipeline to analyze massive log data, auto-detect anomalies, and generate First Level Investigation Reports (FLIR).
About
Highly accomplished SW Engineer with over 4.5 years of experience in R&D, specializing in AI/ML, NLP, and Python-driven automation for optimizing 5G/4G telecom networks. Proven ability to design and implement robust DS/ML frameworks, delivering significant reductions in manual dependencies and issue resolution times. Consistently recognized with 15+ performance awards for driving innovation, defect reduction, and operational excellence in complex global engineering environments.
Work
Nokia
|SW Engineer (Python, AI/ML)– Nokia Mobile Networks R&D
Bangalore, Karnataka, India
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Summary
Led Python, AI/ML, and test automation initiatives within Nokia's Mobile Networks R&D, enhancing 5G/4G feature development and deployment for major telecom operators.
Highlights
Optimized Cloud RAN SW software builds deployment, reducing end-to-end deployment time from 48 hours to 28 hours while maintaining operator-specific configurations.
Implemented AI-driven predictive test re-scheduling, decreasing test cycle times by 20% and improving resource utilization across multiple LTE and 5G projects.
Automated the generation of 200+ telecom API test scenarios using Python scripts and ML pattern recognition, boosting test coverage by 35% and minimizing manual errors.
Designed and deployed a Raspberry Pi-based automation accelerator for UE and call modules, enabling secure remote execution and reducing on-site personnel and compute dependencies.
Developed an AI/NLP log-analysis pipeline (NokiaGPT) to auto-generate First Level Investigation Reports, streamlining root cause prioritization and accelerating developer turnaround.
Altimetrik (Client: Novartis)
|Associate Engineer – Data Scientist
Hyderabad, Telangana, India
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Summary
Developed and optimized AI/ML components for sales forecasting and data processing, contributing to improved prediction accuracy and business outcomes for a major pharmaceutical client.
Highlights
Developed and optimized AI/ML components for sales forecasting modules using Python, R, and Snowflake, significantly improving prediction accuracy and business outcomes.
Authored and executed complex Snowflake queries to extract, transform, and process large datasets, streamlining data preparation for ML pipelines.
Collaborated with cross-functional teams to integrate ML models into enterprise applications and built comprehensive pytest cases, ensuring high reliability and robustness.
Awards
Fearless Award (Nokia)
Awarded By
Nokia
Recognized multiple times for outstanding contributions and innovative problem-solving within Nokia's R&D environment.
Star of the Sprint Award (Nokia)
Awarded By
Nokia
Received multiple times for exceptional performance and significant achievements within sprint cycles.
MN RAN Quarterly Award (NCDR Mission)
Awarded By
Nokia
Awarded for contributions to the New Customer Defect Reduction program, demonstrating excellence in mission-critical initiatives.
Fearless Award (Altimetrik)
Awarded By
Altimetrik
Recognized for brave and impactful contributions during tenure at Altimetrik.
Gen Next Award (Altimetrik)
Awarded By
Altimetrik
Awarded for demonstrating leadership potential and innovative thinking as a rising talent.
Languages
English
Telugu
Skills
Programming & Scripting
Python, PySpark, SQL, Robot Framework.
Data Science & Machine Learning
Machine Learning, Natural Language Processing (NLP), Data Science, Log Analysis, Sales Forecasting, Regression Models (Linear, Logistic), Classification Models (SVM, Decision Tree, KNN), Clustering (K-means, DBSCAN), Feature Engineering, Model Evaluation, Hyperparameter Tuning & Optimization, Scikit-learn, Pandas, NumPy, Tensorflow, PyTorch.
Data Engineering
SQL Data Modeling, Query Optimization, Data Pipeline Development, Databricks, Snowflake.
Telecom & Networking
5G, 4G, 3G (3GPP Standards), Cloud RAN, Call Flows, IP Security (IPSec), TCP/IP, Ethernet, VLAN, Wireshark, IPerf, IXIA, Spirent.
DevOps & Tools
Jenkins, JIRA, Confluence, GitHub, Raspberry Pi, PyCharm, Qualcomm Mobile Test, Automation.
Project Management & Methodologies
Agile, Scrum, Continuous Improvement, End-to-end Solution Delivery, Stakeholder Collaboration.
Projects
Automation Accelerator (Raspberry Pi)
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Summary
Architected and deployed a cost-efficient, remote-enabled Raspberry Pi-based automation accelerator for UE and call module testing.
Pharma Sales Forecasting (Novartis)
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Summary
Developed ML-driven prediction models to improve sales forecasting accuracy for a major pharmaceutical client (Novartis).