I have a strong background in software development and machine learning, with hands-on experience in Python and related frameworks. I have recently submitted my PhD thesis and am now actively seeking an industry role where I can apply my skills to practical, real-world problems.

I have gained valuable experience as a Research Intern at DRDO, Bangalore, where I worked on image processing and machine learning tasks, and as a Full Stack Software Developer, contributing to application development and problem-solving. These experiences helped me build a solid foundation in technical execution, analytical thinking, and teamwork.

I took a career break to pursue my PhD, which required full-time dedication and strengthened my research mindset, discipline, and ability to solve complex problems. I am now fully committed to my professional career and highly motivated to perform, learn, and give my best in this role.

I believe my combination of research depth and industry exposure makes me a strong fit for your team. I would welcome the opportunity to contribute and discuss how my skills can add value to your organization.

Technical Skills

• Programming & Data: Python, SQL, C++, Java, Javascript

• AI / ML: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, Statistical Modeling

• Frameworks & Libraries: TensorFlow, PyTorch, Scikit-learn, Hugging Face Transformers, NumPy, Pandas

• Visualization: Matplotlib, Seaborn

• Cloud & MLOps: AWS – Beginner CI/CD – Beginner, JIRA

• Databases: MySQL, SQLite

• Core Competencies: Data Analysis, System Design, AI Ethics, Agile Collaboration

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Social Media 

• Google Scholar 

• ResearchGate

•  LinkedIn

• Twitter 

• GitHub

• Orcid : 0000-0003-2973-5871

Activities

• Participated FDP on "AI for Communication and Signal Processing Applications" organised by E&ICT Academy, NIT Warangal and V R Siddhartha Engineering College, Vijayawada.

• Participated  in  "Brain, Computation and Learning (BCL) 2023  Workshop at Indian Institute of Science (IISc), Bangalore.

• Participated as Resource Person in workshop titled "Two days workshop on LaTex Programming"  Organized by Computer Centre, Mangalore University. 2023

• Completed the Certification program by IIT Kharagpur AI4ICPS I HUB FOUNDATION on  "Math of Machine Learning Spring School". 2023

• Participated in the course "Video/Image content analytics for forensic and surveillance Applications" by GIAN (GLOBAL INITIATIVE FOR ACADEMIC NETWORKS

• Participated in the one day National Workshop on "Brain Balancing and Hypnosis" organized by the Department of Mathematics, Ramanujan College, University of Delhi on13th October 2023.

Research Experience

Published Papers

2025

1. Sharal Coelho, Hosahalli Lakshmaiah Shashirekha, Shwetha Prabhu, and Hemaraja Nayaka S.  "Classification of Voice Disorders using Spectrograms of Voice Signals". In International Conference on International Conference on Artificial Intelligence in Healthcare. Cham: Springer, 2025. (Received Best Research Paper Award)

2. Sharal Coelho, Hosahalli Lakshmaiah Shashirekha, and Shwetha Prabhu, " KanVD: Corpus Creation of Kannada Voice Disorder Dataset" IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (2025 IEEE DISCOVER) 

3. Agrawal, Ameeta, Asha Hegde, Sharal Coelho, Sabur Butt, Fazlourrahman Balouchzahi, Sudha V, and Shashirekha Hosahalli Lakshmaiah. "WILD@ FIRE2025: Overview of Word-level Code-Mixed Language Identification in Dravidian Languages." In Proceedings of the 17th annual meeting of the Forum for Information Retrieval Evaluation, pp. 25-27. 2025. 

2024

1. Hegde, Asha; Balouchzahi, Fazlourrahman; Butt, Sabur; Coelho, Sharal; G, Kavya; Kumar, Harshitha S; HL, Shashirekha; Agrawal, Ameeta; 

CoLI@ FIRE2024: Findings of Word-level Code-Mixed Language Identification in Dravidian Languages Proceedings of the 16th Annual Meeting of the     Forum for Information Retrieval Evaluation 07-Oct, 2024

2. Hegde, Asha; Balouchzahi, Fazlourrahman; Butt, Sabur; Coelho, Sharal; K. G, H. S Kumar, S. D, S. Hosahalli Lakshmaiah, A. Agrawal, Overview of CoLI-Dravidian: Word-level Code-mixed Language Identification in Dravidian Languages Forum for Information Retrieval Evaluation FIRE-2024

3. Sharal Coelho, Hosahalli Lakshmaiah Shashirekha, Shwetha Prabhu, and Hemaraja Nayaka S. "Automatic Assessment of Pathological Voice Quality using Machine Learning Approaches" In Third edition of the International Conference on Speech & Language Technology for Low-resource Languages (SPELLL). Cham: Springer, 2024.

2023

1. Coelho, Sharal, and Hosahalli Lakshmaiah Shashirekha. "Identification of Voice Disorders: A Comparative Study of Machine Learning Algorithms." In International Conference on Speech and Computer, pp. 565-578. Cham: Springer Nature Switzerland, 2023. 

2. Hegde, Asha, Fazlourrahman Balouchzahi, Sharal Coelho, Shashirekha HL, Hamada A. Nayel, and Sabur Butt. "CoLI@ FIRE2023: Findings of Word-level Language Identification in Code-mixed Tulu Text." In Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, pp. 25-26. 2023. 

3. Hegde, Asha, Fazlourrahman Balouchzahi, Sharal Coelho, H. L. Shashirekha, Hamada A. Nayel, and Sabur Butt. "Overview of CoLI-Tunglish: Word-level Language Identification in Code-mixed Tulu Text at FIRE 2023." In FIRE (Working Notes), pp. 179-190. 2023. 

4. Coelho, Sharal, Asha Hegde, G. Kavya, and Hosahalli Lakshmaiah Shashirekha. "MUCS@ LT-EDI2023: Detecting Signs of Depression in Social Media Text." In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 295-299. 2023.

5. Coelho, Sharal, Asha Hegde, Pooja Lamani, G. Kavya, and Hosahalli Lakshmaiah Shashirekha. "MUCSD@ DravidianLangTech2023: Predicting Sentiment in Social Media Text using Machine Learning Techniques." In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pp. 282-287. 2023. 

6. Hegde, Asha, G. Kavya, Sharal Coelho, Pooja Lamani, and Hosahalli Lakshmaiah Shashirekha. "MUNLP@ DravidianLangTech2023: Learning Approaches for Sentiment Analysis in Code-mixed Tamil and Tulu Text." In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pp. 275-281. 2023. 

7. Hegde, Asha, G. Kavya, Sharal Coelho, and Hosahalli Lakshmaiah Shashirekha. "MUCS@ DravidianLangTech2023: Leveraging Learning Models to Identify Abusive Comments in Code-mixed Dravidian Languages." In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pp. 266-274. 2023. 

8. Coelho, Sharal, Asha Hegde, G. Kavya, and Hosahalli Lakshmaiah Shashirekha. "Mucs@ dravidianlangtech2023: Malayalam fake news detection using machine learning approach." In Proceedings of the Third Workshop on Speech and Language Technologies for Dravidian Languages, pp. 288-292. 2023. 

9. Hegde, Asha, G. Kavya, Sharal Coelho, and Hosahalli Lakshmaiah Shashirekha. "MUCS@ LT-EDI2023: Learning Approaches for Hope Speech Detection in Social Media Text." In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 279-286. 2023.  

10. Hegde, Asha, G. Kavya, Sharal Coelho, and Hosahalli Lakshmaiah Shashirekha. "MUCS@ LT-EDI2023: Homophobic/Transphobic Content Detection in Social Media Text using mBERT." In Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 287-294. 2023. 

2022

10. • 1. Hegde, Asha, Mudoor Devadas Anusha, Sharal Coelho, Hosahalli Lakshmaiah Shashirekha, and Bharathi Raja Chakravarthi. "Corpus Creation for Sentiment Analysis in Code-Mixed Tulu Text." In Proceedings of the 1st Annual Meeting of the ELRA/ISCA Special Interest Group on Under-Resourced Languages, pp. 33-40. 2022. 

      2. Hegde, Asha, Sharal Coelho, and Hosahalli Shashirekha. "MUCS@ DravidianLangTech@ ACL2022: ensemble of logistic regression penalties to identify Emotions in Tamil Text." In Proceedings of the second workshop on speech and language technologies for Dravidian languages, pp. 145-150. 2022. 

      3. Hegde, Asha, Sharal Coelho, Ahmad Elyas Dashti, and Hosahalli Shashirekha. "MUCS@ Text-LT-EDI@ ACL 2022: Detecting Sign of Depression from Social Media Text using Supervised Learning Approach." In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion, pp. 312-316. 2022. 

2021

1. Hegde, Asha, Mudoor Devadas Anusha, Sharal Coelho, and Hosahalli Lakshmaiah Shashirekha. "Mum at comma@ icon: Multilingual gender biased and communal language identification using supervised learning approaches." In Proceedings of the 18th International Conference on Natural Language Processing: Shared Task on Multilingual Gender Biased and Communal Language Identification, pp. 64-69. 2021. 

Conferences attended

1.  The International Conference on Speech and Computer (SPECOM) . The 25th (Silver) Jubilee edition held at Hubli-Dharwad, India.  

2. The 20th International Conference on Natural Language Processing (ICON-2023).

3.  The 15th meeting of Forum for Information Retrieval Evaluation 2023 held at Goa Business School, Goa University, Panjim, India.  

4. FOCUS-4 State level conference of Speech and Hearing, organised by Father Muller Hospital, Mangalore

5. International Conference on Artificial Intelligencein Health care (ICAIH-2025)

6. Third International Conference on "SPEECH AND LANGUAGE TECHNOLOGIES FOR LOW-RESOURCE LANGUAGES", December 04-06, 2024. Vellore Institute of Technology (VIT), Chennai, INDIA