cv
Basics
| Name | Lathashree Harisha |
| Currently | Machine Learning engineer |
| lathashree.harisha@gmail.com | |
| Summary | Machine learning engineer with experience in designing, developing and deploying machine learning solutions across various industries. |
| Linkedin url | https://www.linkedin.com/in/lathashree/ |
Work
-
Nov 2023 - May 2025 Machine Learning Engineer
Beam (formerly Rovco/Vaarst)
Machine Learning engineer working on CV and LLM-based use cases to drive intelligent decision-making by building and deploying robust, scalable ML models for the offshore wind energy sector.
- Productionise ML solutions
- ML Systems design
- Computer Vision
- Sonar imagery
- Large Language Models
- Leading projects end-to-end
-
Aug 2018 - Aug 2022 Senior Engineer - Machine Learning
Sony India Software Centre
Senior Engineer working on various critical business problems focused on building reliable and scalable ML systems. Worked on end-to-end ML life cycle from experimentation to productionsing of ML models.
- Productionise ML solutions
- Computer Vision
- Language Models
- Stakeholder alignment
- Leadership
- Mentorship
Education
-
Oct 2022 - Oct 2023 London, UK
Masters in Science (MSc)
Imperial College London
Artificial Intelligence and Machine Learning
- Natural Language Processing
- Deep Learning
- Reinforcement Learning, Robot Learning
- Mathematics for Machine Learning
- Computer Vision, Machine Learning for Imaging
-
Aug 2014 - Aug 2018 Karnataka, India
Volunteer
-
London, UK
Organizer
Imperial College London
Hackathon conducted for girls aged 7-10 to build confidence and self-esteem in maths and computing. Supported and oversaw various activities and fun technology games using MIT tools for students.
Awards
- 2023
Distinction for Research Thesis
Imperial College London
Awarded distinction for my research thesis on LLMs for healthcare conducted at Data Science Institute.
- 2020
Harmony Award
Sony India Software Centre
Award for successful cross-functional collaboration on a high-impact project at Sony's 2020 technology event, which was later converted into a product offering for an internal Sony entity.
- 2020
Best Performer of the Quarter
Sony India Software Centre
Awarded best performer of the Querter for making exceptional contribution to project deliverables inaddition to mentoring and facilitating junior engineers in development activities'
- 2019
Innovator of the Year
Sony India Software Centre
Awarded Innovator of the year for making a significant business impact through innovative ML application for Sony PlayStation'
Certificates
| Machine Learning in Production | ||
| Coursera | February 2025 |
Languages
| English | |
| Proficient |
| Kannada | |
| Native Speaker |
Interests
| NLP | |
| Foundation Models - LLMs | |
| Language models - BERT family | |
| Pretraining and Fine-tuning | |
| RAG Systems | |
| Information Extraction and Retrieval Systems | |
| Tokenisation and Embeddings | |
| Domain Adaptation |
| Computer Vision | |
| Image Segmentation | |
| Object Detection | |
| Visual Anomaly Detection | |
| Sonar Imagery (SSS, MBES) | |
| Visual Transformers | |
| Model Evaluation for CV models |
| MLOps | |
| Model Monitoring | |
| CI/CD for ML | |
| Experiment Tracking | |
| Data Versioning | |
| Quantisation | |
| Inference Optimisation | |
| ONNX models | |
| Containerisation (Docker/AWS ECS) | |
| Distributed Training |
| Responsible AI | |
| Bias and Fairness | |
| Model Explainability | |
| Governance and Documentation | |
| Hallucination Mitigation | |
| LLM Guardrails | |
| Evaluation with LLM-as-a-judge |
References
| Catherine Seale | |
| Working with Latha at Beam was a pleasure and she was a huge asset in our team. Her engineering background gives her an attention to detail that’s valuable in an ML team - her work is robust, reliable, tested well, and well as thoughtfully considered in the context of wider MLOps systems and deployment processes. Would recommend Latha to anyone looking to get their ML out of pilot and into production. |