- 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
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.
Timeline of roles, research, and applied work
- 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
- 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.
- 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.
- 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.
- 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.
- 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.
Selected builds and research projects
Gundata: Agentic AI
Fall 2025 · Reinforcement Learning Testbed
A traditional Andhra Pradesh Sankranti dice game rebuilt as a testbed for AI agents — evaluating rule-based bots against a trained reinforcement learning opponent with live explainable decision-making. Demonstrates core ML engineering: clean MDP formulation, training at scale, and interpretability for downstream analysis.
- Tabular Q-learning agent trained over 20,000 self-play episodes on an 18-state MDP with convergence analysis
- Explainability dashboard logging each agent's reasoning and top-3 Q-values per move in real time
- Clean MVC game engine with two rule variants and multiple AI opponent personalities
- Full technical report and reproducible training pipeline for agent evaluation
MediTrust — Explainable AI Healthcare Risk Prediction
Spring 2026
Explainable cardiovascular risk prediction using Logistic Regression — ROC-AUC 0.87 with per-patient SHAP explanations for clinical interpretability. Full-stack deployment: FastAPI backend, React frontend, PostgreSQL database, AWS hosting, and GitHub Actions CI/CD for reproducible model serving.
- Logistic Regression model achieving ROC-AUC 0.87 on a held-out test set
- Per-patient SHAP explanations so every prediction includes a feature-contribution breakdown for clinical trust
- Full-stack production system: FastAPI backend, React UI, PostgreSQL persistence, Dockerized services
- AWS deployment with GitHub Actions CI/CD for automated testing and model versioning
LLM Evaluation — Handshake AI
Apr 2026–Present
Comparative evaluation of frontier LLMs in an agentic coding environment — custom task design, structured scoring, and detailed qualitative rationales that feed model improvement.
Campus-Objects — Multi-Class Object Detection
Fall 2025
LW-DETR multi-class detection on 3,000+ annotated campus images — 0.71 mAP@0.5, COCO-format pipeline with transfer learning and augmentation.
- Built and annotated a 3,000+ image campus dataset in COCO format with consistent labeling guidelines
- Fine-tuned LW-DETR via transfer learning, reaching 0.71 mAP@0.5 across multiple object classes
- Applied augmentation and evaluation pipelines for reproducible detection benchmarking
GeoAI Flood Detection System
Fall 2025
Semantic segmentation for flood-affected zones using attention U-Net on Sentinel-1 SAR imagery, with Grad-CAM visualizations for interpretability.
- Attention U-Net semantic segmentation on Sentinel-1 SAR imagery for flood-zone mapping
- Grad-CAM activation maps to verify the model attends to true flood signatures, not artifacts
- Reproducible PyTorch training pipeline built during AI-CHESS Lab research
Snap Tune — AI Music Recommender
Spring 2025
Multi-modal music recommender — BLIP image captioning + GPT mood inference + Spotify retrieval, deployed on Streamlit Cloud.
- BLIP image captioning for semantic scene understanding from user-uploaded photos
- DistilGPT2 mood inference bridging vision output to music-relevant emotional context
- Spotify API retrieval and playlist generation, deployed as an interactive Streamlit Cloud app
Gundata: Sankranti Dice
Interactive systems
Interactive recreation of a traditional Andhra Pradesh Sankranti dice game — turn-based scoring, desktop UI, and game-logic design alongside ML work.
- Turn-based dice gameplay with traditional scoring rules
- Java Swing desktop interface and state management
- Evidence of interactive frontend + game-logic skills
SSKS Home Designs
Interior Design · Sustainable Building Models · 3D Visualization
Dedicated case-study page with full gallery, project delivery details, and sustainable design decisions informed by MITx coursework.
Academic foundation with practical crossover
Saint Louis University
M.S. in Artificial Intelligence
Jan 2025 – Dec 2026 · St. Louis, MO · GPA: 3.83/4.0
Coursework: Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, NLP, Databases, Software Development, AI in Modern Software Development, OOP & Data Structures.
Vel Tech R&D Institute of Science & Technology
B.Tech in Civil Engineering
Jul 2016 – Aug 2020 · Chennai, India · GPA: 3.69/4.0
Vel Tech Mahatma Gandhi Scholarship recipient — awarded for academic excellence, covering 75% of undergraduate tuition across the full B.Tech program.
Breadth across modeling, spatial AI, systems, and delivery
ML & Deep Learning
Generative AI & LLMs
Computer Vision & Spatial AI
Programming & Full-Stack
Data Engineering & Databases
Cloud & MLOps
Data Visualisation & Analytics
Productivity & Design
Awards, publications, and leadership
Recognition, research output, and extracurricular contributions beyond day-to-day project work. View full ResearchGate profile.
Awards
Quality Champ
Chegg India · Recognized for outstanding accuracy and subject depth in Statistics & Probability.
IAS Summer Research Fellowship
IIT Bombay (2019) · Competitively selected by the Indian Academy of Sciences to conduct research at one of India's premier technical institutes.
Vel Tech Mahatma Gandhi Scholarship
Awarded for academic excellence; covered 75% of undergraduate tuition across the full B.Tech program.
Publications & Conferences
BIM Usage in Construction Industry: Modal Integration and Clash Detection in Building Design
Conference Paper & Poster · DOI: 10.13140/RG.2.2.17527.24486
As-Built Mapping Using Terrestrial Laser Scanner (TLS)
Published via Author Café · DOI: 10.13140/RG.2.2.19204.96645
TLS Hardware & Data Processing User Manuals
IIT Bombay · Developed technical user manuals for TLS hardware and data processing workflows — adopted as standard lab reference.
Leadership & Extracurricular
University Handball Player
Captained university handball team across multiple inter-university tournaments including All India University South Zone Handball Tournament (Dec 2018).
Collegiate Shot-Put Athlete
Competed at the collegiate level with multiple first-place finishes.
Student Coordinator & Office Bearer
Indian Concrete Institute (ICI) — coordinated student activities and institutional engagement.
National Service Scheme Volunteer
Contributed to community service initiatives through the NSS program.
NASM Certified Personal Trainer (CPT)
Currently pursuing NASM CPT certification to deepen fitness and coaching knowledge.
Certifications that support the work
Browse completed training and planned credentials by area. Dates are shown where available.

