Credentials & Proof

Portfolio & Credentials

A practical record of projects, experience, education, technical skills, certifications, and achievements. Each section shows the work completed and the knowledge behind it.

Evidence at a glance 19 credentials across applied AI, cloud, spatial systems, and software.
16 Completed 3 Planned 5 Categories
Experience

Timeline of roles, research, and applied work

HS

AI Trainer — LLM Evaluation & Agentic Coding

Handshake AI · Apr 2026–Present

Remote
  • Design and execute custom evaluation tasks for frontier LLMs in an agentic coding environment, interacting with models via API to assess real-world software engineering capability
  • Conduct comparative evaluations of frontier models on complex coding and reasoning tasks — ranking response quality and user experience against standardized evaluation criteria
  • Author detailed qualitative rationales and comparative scores, documenting full human–model interaction traces that inform model improvement
  • Analyze and refine complex software codebases as part of evaluation workflows, surfacing failure modes and capability gaps
SLU

Graduate AI Researcher — Computer Vision & Deep Learning

AI-CHESS Lab, Saint Louis University · Oct 2025–Mar 2026

St. Louis, MO
  • Conducted applied research on attention-based deep learning for single-image shadow removal — an ill-posed image restoration problem — using high-resolution aerial and satellite imagery as the application domain, improving image quality for downstream tasks like object detection and semantic segmentation
  • Reviewed and benchmarked state-of-the-art methods from CVPR, ICCV, ECCV, and NeurIPS spanning CNN restoration networks, encoder–decoder and U-Net variants, GAN-based image translation, Vision Transformers, and hybrid CNN–Transformer architectures — comparing loss functions, evaluation metrics, and computational trade-offs
  • Engineered dataset pipelines in Python, OpenCV, and NumPy: data cleaning, normalization, patch generation, augmentation, train/validation/test splits, and quality verification of training samples
  • Assisted in developing and training deep learning models in PyTorch and TensorFlow on GPU workflows — hyperparameter tuning, convergence monitoring, debugging training issues, and organizing reproducible experiment runs
  • Evaluated models with quantitative image-quality metrics and qualitative visual analysis — detail preservation, artifact reduction, and cross-scene generalization — documenting comparative findings and trade-offs between accuracy and computational cost
  • Presented experimental findings in weekly research discussions and iterated on research directions with faculty advisors
EX

Data Visualization Associate — Project Lead

Excelerate · Feb 2025–Mar 2025

Internship · Remote
  • Managed an end-to-end data pipeline for 5,000+ student engagement records, improving data quality and consistency.
  • Designed interactive dashboards and KPI reporting solutions using Google Data Studio for global stakeholders.
  • Translated analytical findings into actionable insights to support data-driven decision making.
SF

Salesforce Administrator & Developer

Salesforce · Aug 2023–Oct 2023

Internship · Remote
  • Automated CRM workflows using Salesforce Flow and Process Builder, improving operational efficiency and reducing manual effort.
  • Customized enterprise data models, validation rules, access controls, and SOQL/SOSL-based solutions for data management and reporting.
CG

Statistics & Data Analytics Specialist

Chegg India Pvt. Ltd. · Apr 2021–Nov 2024

Remote
  • Authored and reviewed 500+ advanced probability and statistics solutions using Minitab and R; recognized as Quality Champ for exceptional depth and consistency.
  • Applied statistical modelling and inferential techniques to develop rigorous step-by-step solutions for complex data analysis problems.
SS

Interior Design Project Lead

SSKS Home Designs · 2021–2023

Client work
  • Led project planning, client communication, and delivery across residential interior design projects.
  • Built 3D models and sustainable building concepts using AutoCAD, Revit, and SketchUp.
  • Published the venture on Google Maps with project photos and a portfolio website.
Open SSKS case study
IITB

Research Intern

Indian Institute of Technology (IIT) Bombay · Jun 2019–Aug 2019

Mumbai, India
  • Conducted research on terrestrial laser scanning (TLS) and 3D point-cloud processing for spatial reconstruction applications.
  • Processed and analyzed large-scale spatial datasets using registration, filtering, and feature extraction techniques.
  • Developed technical user manuals for TLS hardware and data processing workflows adopted as standard lab reference.