Update app.py

app.py

@@ -51,17 +51,14 @@ def display_work_experience():
     st.markdown('## Work Experience')
     st.write("""
     
-    **HighBrow Technoloy Inc, San Jose, CA, USA**
+    **Turing, San Jose, CA, USA**
     March 2025 - Present
     - **Data Scientist**
-        - Conduct fundamental and applied research in multimodal learning, vision-language alignment, and inference optimization.
-        - Develop novel methodologies and optimization techniques to enhance inference performance and post-training efficiency.
-        - Explore advancements in vision and text alignment to improve model understanding and generation.
-        - Investigate data efficiency, model interpretability, robustness, and fairness in vision-language systems.
-        - Curate, preprocess, and construct high-quality multimodal datasets for training and benchmarking.
-        - Design and implement robust evaluation pipelines, incorporating human-in-the-loop assessments, zero-shot learning, and adversarial testing.
-        - Improve dataset quality and diversity to mitigate bias and enhance fairness in vision-language models (VLMs).
-        - Collaborate with AI engineers, product teams, and academic researchers to align research initiatives with business objectives.
+        - Successfully shipped a custom evaluation-benchmark dataset for Gemini 3.0, aggregating data sources across multiple
+            domains (mathematics, finance, chemistry, biology) spanning educational levels from high-school through PhD
+        - Collaborate with AI engineers, product teams, and academic researchers to align research initiatives with business objectives and deliver data-driven solutions across cross-functional teams
+        - Fine-tuned Qwen model on multi-GPU cluster using advanced architecture, boosting overall performance by 12% and achieving significant accuracy improvements across 15+ analytical categories
+        - Design and implement robust evaluation pipelines incorporating quality assessments, performance benchmarking, and bias mitigation techniques to enhance model reliability and fairness
     
     **San Jose State University, San Jose, CA, USA**
     August 2024 - December 2024