Tapasya Dhawale

Product Engineer

Pune, Maharashtra, India2 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expertise in optimizing AI models for visual content.
Strong analytical skills from Electrical Engineering background.
Proven ability to collaborate across teams for project success.

Stackforce AI infers this person is a skilled AI professional focused on model optimization and cross-functional collaboration.

Contact

Skills

Core Skills

Generative AiLarge Language Models (llm)

Other Skills

Data VisualizationData AnalysisEmbedded SystemsAnalytical SkillsEnglishInterpreting DataProject ManagementSkill AssessmentStrategic AnalysisSynthesizingData StructuresMicrosoft OfficeOperationsInterpersonal SkillsCompetitive Intelligence

About

NVIDIA empowers cutting-edge AI advancements, where collaboration drives innovation in image captioning and large language model (LLM) training. As an Associate Prompt Engineer, contributions include optimizing AI models for enhanced visual content interpretation while fostering cross-functional partnerships to improve image understanding. Academic foundations in Electrical and Electronics Engineering from Dr. Vishwanath Karad MIT World Peace University underpin a strong analytical skill set. Motivated to leverage prompt engineering expertise, the goal is to contribute to transformative AI projects in a rapidly evolving field.

Experience

2 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

2 yrs 8 mos

Current Experience

Nvidia

Associate Prompt Engineer

Sep 2023 – Present · 2 yrs 8 mos · Maharashtra, India · Remote

Developed and fine-tuned image captioning models to enhance training for large language models (LLMs).
Collaborated with cross-functional teams to improve image understanding and generate high-quality captions.
Contributed to optimizing AI models, resulting in improved accuracy and performance in visual content interpretation.

Generative AILarge Language Models (LLM)

Exposys data labs

Intern

Aug 2023 – Aug 2023 · 0 mo · Bengaluru, Karnataka, India · Remote

Prepared the data set using several methods to train the model.
Built a model that can give high accuracy in predicting the disease.

Data VisualizationData Analysis

Shalaka connected devices

Student Intern

Jan 2023 – Jun 2023 · 5 mos · Pune District, Maharashtra, India · On-site

Developed and deployed dynamic QR codes on OLED displays using ESP32 modules, enhancing display functionality by 30%.
Tested and calibrated BH1750 ambient light sensors, integrating them with additional sensors, improving accuracy by 20%.
Collaborated with cross-functional teams to troubleshoot embedded system issues, reducing project downtime by 25%.

Embedded SystemsAnalytical Skills