@@ -203,47 +203,30 @@ <h2>Education</h2>
203203 </ table >
204204 </ section >
205205
206- < section style ="margin-top: 2rem; ">
207- < h2 style ="margin-bottom: 0.5rem; font-size: 1.5rem; font-weight: 600; "> Technical Skills</ h2 >
208-
209- <!-- Container uses flex-box; stacks vertically on small screens -->
210- < div style ="display: flex; flex-wrap: wrap; gap: 24px; align-items: flex-start; ">
211- <!-- Skills table -->
212- < div style ="flex: 1 1 320px; min-width: 260px; ">
213- < table style ="width: 100%; border-collapse: collapse; table-layout: fixed; font-size: 0.95rem; line-height: 1.4; ">
214- < colgroup >
215- < col style ="width: 38%; " />
216- < col style ="width: 62%; " />
217- </ colgroup >
218- < tr >
219- < td style ="font-weight: bold; padding: 4px 8px; vertical-align: top; "> Programming Languages:</ td >
220- < td style ="padding: 4px 8px; white-space: normal; word-break: break-word; "> Python, C++, Lua, HTML, LaTeX</ td >
221- </ tr >
222- < tr >
223- < td style ="font-weight: bold; padding: 4px 8px; vertical-align: top; "> Libraries & Frameworks:</ td >
224- < td style ="padding: 4px 8px; white-space: normal; word-break: break-word; "> NumPy, pandas, Matplotlib, Scikit‑Learn, PySR, Qiskit</ td >
225- </ tr >
226- < tr >
227- < td style ="font-weight: bold; padding: 4px 8px; vertical-align: top; "> Scientific Tools:</ td >
228- < td style ="padding: 4px 8px; white-space: normal; word-break: break-word; "> CHROMA, MATLAB, Mathematica</ td >
229- </ tr >
230- < tr >
231- < td style ="font-weight: bold; padding: 4px 8px; vertical-align: top; "> Modeling & Methods:</ td >
232- < td style ="padding: 4px 8px; white-space: normal; word-break: break-word; "> Monte Carlo Simulation, Symbolic Regression, Statistical Modeling</ td >
233- </ tr >
234- < tr >
235- < td style ="font-weight: bold; padding: 4px 8px; vertical-align: top; "> Tools & Platforms:</ td >
236- < td style ="padding: 4px 8px; white-space: normal; word-break: break-word; "> Git, GitHub, Docker, JupyterLab, Visual Studio, HPC environments, Linux/Unix Shell (Bash)</ td >
237- </ tr >
238- </ table >
239- </ div >
240-
241- <!-- GitHub stats card -->
242- < figure style ="flex: 0 1 300px; margin: 0; text-align: center; ">
243- < img src ="https://github-readme-stats.vercel.app/api/top-langs/?username=Hariprashad-Ravikumar&layout=compact&langs_count=10&hide=cmake,makefile&theme=github_light " alt ="GitHub top languages card " style ="width: 100%; max-width: 300px; border-radius: 8px; box-shadow: 0 2px 6px rgba(0,0,0,0.15); " />
244- < figcaption style ="margin-top: 6px; font-size: 0.9rem; color: #555; "> GitHub Stats</ figcaption >
245- </ figure >
246- </ div >
206+ < section >
207+ < h2 > Technical Skills</ h2 >
208+ < table style ="width:100%; border-collapse: collapse; ">
209+ < tr >
210+ < td style ="vertical-align: top; font-weight: bold; "> Programming Languages:</ td >
211+ < td > Python, C++, Lua, HTML, < span class ="math "> \( \LaTeX \)</ span > </ td >
212+ </ tr >
213+ < tr >
214+ < td style ="vertical-align: top; font-weight: bold; "> Libraries & Frameworks:</ td >
215+ < td > NumPy, pandas, Matplotlib, PySR, Qiskit</ td >
216+ </ tr >
217+ < tr >
218+ < td style ="vertical-align: top; font-weight: bold; "> Scientific Tools:</ td >
219+ < td > CHROMA, MATLAB, Mathematica</ td >
220+ </ tr >
221+ < tr >
222+ < td style ="vertical-align: top; font-weight: bold; "> Modeling & Methods:</ td >
223+ < td > Monte Carlo Simulation, Symbolic Regression, Statistical Modeling</ td >
224+ </ tr >
225+ < tr >
226+ < td style ="vertical-align: top; font-weight: bold; "> Tools & Platforms:</ td >
227+ < td > Git, GitHub, Docker, JupyterLab, Visual Studio, HPC environments, Linux/Unix Shell (Bash)</ td >
228+ </ tr >
229+ </ table >
247230</ section >
248231
249232 < section >
@@ -256,13 +239,6 @@ <h2>Certifications</h2>
256239 < br >
257240 Credential ID: < a href ="https://www.coursera.org/account/accomplishments/professional-cert/certificate/U0HU8UKT89L4 " target ="_blank "> U0HU8UKT89L4</ a >
258241 </ li >
259- < li >
260- < strong > Intro to Machine Learning</ strong > (Issued: May 2025)
261- < br >
262- Kaggle
263- < br >
264- < a href ="https://www.kaggle.com/learn/certification/hariprashadravikumar/intro-to-machine-learning " target ="_blank "> View Certificate</ a >
265- </ li >
266242 < li >
267243 < strong > Getting Started with Accelerated Computing in CUDA C/C++</ strong > (In Progress)
268244 < br >
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