Hirva M.

Product Manager

Gandhinagar, Gujarat, India6 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

5+ years of experience in AI and Data Science.
Expertise in Federated Learning and Explainable AI.
Proven track record in developing scalable AI solutions.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on Telecommunications and Big Data.

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Skills

Core Skills

Data IngestionBig Data AnalyticsNatural Language Processing (nlp)Data ScienceMachine Learning5gTelecommunicationsWeb Development

Other Skills

Geospatial DataHadoopSparkZeppelinPython (Programming Language)BERTRASA FrameworkGoogle DialogflowPythonScikit-learnPandasTest StrategyResolving IssuesAdvanced algorithmsField log analysis

About

AI Professional, Data Scientist/Analyst with 5+ years of industry experience, including 3+ years specializing in Artificial Intelligence and Machine Learning. Proficient in cutting-edge technologies like Federated Learning, Explainable AI, and Natural Language Processing, with hands-on expertise in Deep Learning frameworks such as TensorFlow. Proven ability to develop scalable AI-driven solutions, including GenAI-powered retrieval-augmented generation (RAG) systems, real-time conversational AI, and predictive analytics models. Experience spans across research, industry, and academia, including roles at ISRO, Intel, and leading AI training institutes. Passionate about solving complex problems at the intersection of AI, data science, and privacy-focused computing. Currently pursuing a PhD in Federated Learning and Explainable AI for Brain Tumor Histopathology Image Analysis.

Experience

6 yrs 11 mos

Total Experience

1 yr

Average Tenure

11 mos

Current Experience

Karnavati university (ku)

Assistant Professor

Jul 2025 – Present · 11 mos

Boston institute of analytics

Technical Trainer

May 2024 – Present · 2 yrs 1 mo · Hybrid

Wolke k8 solutions

GenAI Consultant

Apr 2024 – Jun 2025 · 1 yr 2 mos

Boston institute of analytics - bhavnagar, rupani campus

Managing Partner & Technical Counsellor

Jan 2024 – Present · 2 yrs 5 mos · Bhavnagar, Gujarat, India · On-site

Tops technologies pvt. ltd

AI Instructor & Technical Counsellor

Aug 2022 – Dec 2023 · 1 yr 4 mos

Isro - indian space research organization

Research Fellow

Apr 2022 – Aug 2022 · 4 mos

Design and Development of a Scalable Framework for Geospatial Data Ingestion, Ad-hoc Queries and Analysis on Big Data Environment
Developed a Data Ingestion tool for Raster and Mosaic datasets using a cluster configured with Hadoop-2.10.2, Spark-3.2.1, Zeppelin-0.10.1 and Sadona using rasterio and sentinelsat.
Designing Interactive shell for Adhoc queries and Data Analytics.

Data IngestionGeospatial DataBig Data Analytics

Creensight

Data Scientist

Oct 2019 – Apr 2022 · 2 yrs 6 mos

● Developed a real-time conversational system leveraging Distilled BERT models with ELMo embeddings, trained on over 20K original queries. Enabled multi-modal input processing, including text, speech (via Speech-to-Text), and snapshots (via Optical Character Recognition). Achieved approximately 45% task reduction.
● Designed and led the development of over 25 multilingual voice bots, integrating them into multiple channels (voice, chatbots) using cutting-edge technologies such as the RASA Framework and Google Dialogflow, implementing NLU and advanced dialog management strategies.
● Oversaw and streamlined operations for more than 15 client accounts over two years, delivering end-to-end voice bot solutions, reporting mechanisms, and data transfer automation. Utilized Python scripts, SQL, and MongoDB NoSQL queries to automate voice bot reports.
● Contributed to the development of an NLU Data Generation System utilizing rephrasing models such as BERT, GPT-3, and RoBERTa.
● Customer Churn Prediction : Designed and implemented a machine learning model to predict customer churn using a telecom dataset with 7,000+ records. Performed data preprocessing, exploratory data analysis (EDA), and feature engineering to identify key churn indicators, including tenure, monthly charges, and contract type. Applied classification algorithms (Logistic Regression, Random Forest, XGBoost), achieving 85% accuracy and an F1-score of 0.78 through hyperparameter tuning. Utilized Python, Scikit-learn, Pandas, and Seaborn for data analysis, visualization, and model evaluation. Presented data-driven insights and retention strategies to stakeholders, recommending long-term contracts and pricing optimization to reduce churn.

Natural Language Processing (NLP)Python (Programming Language)Data Science

Intel corporation

5G and Legacy Cellular Protocol Stack Control Plane Engineer Intern

Jul 2018 – Jul 2019 · 1 yr

● Designed and developed an optimized scheduling system for Inter-RAT and Inter-Frequency measurements, enhancing radio connection sustainability and significantly reducing call drops in 5G wireless networks. Engineered and executed comprehensive test strategies, leveraging advanced field log analysis to identify and resolve critical network issues.
● Developed a dynamic scheduler for efficient gap handling and assignment across 2G, 3G, LTE, and 5G New Radio, improving network cell measurements by optimizing RSRP and RSRI parameters. Utilized strong programming expertise to implement advanced algorithms, solving call drop and network sustainability challenges.

5GTest StrategyResolving IssuesTelecommunications