Profile
AI and machine learning engineer with an MS in Applied AI and 2.5 years of part time software engineering experience. My work includes language models, AI agents, computer vision, model evaluation, and deployment.
Experience
AI Fellow (AI Trainer) · Handshake AI
AUG 2026 TO PRESENT / REMOTE / USA
Contribute to the Handshake AI Fellowship, supporting AI research through human evaluation of large language models. Focus on identifying where and how models struggle with tasks involving real datasets.
- Dataset Sourcing & Review: Source dataset files across different domains and formats. Examine their content, structure, and suitability for challenging model interpretation and analysis.
- Prompt Development & Testing: Develop prompts grounded in the selected datasets to test complex reasoning and instruction following. Run these prompts and collect model outputs for assessment.
- Output Validation & Failure Analysis: Check responses against source data and task requirements. Document incorrect interpretations, reasoning errors, unsupported conclusions, and incomplete results through structured feedback to support model improvement.
Junior Software Engineer · ITSoleX India
MAR 2022 to AUG 2024 / PART TIME / REMOTE
Python application development using Flask and Django. REST APIs, validation, database integration, applied ML and computer vision workflows. AWS deployments, Docker, CI/CD, and production support.
Machine Learning Intern · Unified Mentor
SEP to DEC 2024 / INDIA
Complete ML pipelines on 15,000+ records. Preprocessing, feature engineering, evaluation, and PyTorch model optimization.
Education
MS in Applied Artificial Intelligence
2025 to 2026 / CGPA 4.0 / 4.0
Purdue University Northwest, Indiana
B.Tech in Computer Science and Engineering
2020 to 2024 / CGPA 3.56 / 4.0
APJ Abdul Kalam Technological University, India
Applied AI projects
ThinkTrace ↗
Specialist AI agents check claims, identify logical fallacies, and evaluate reasoning.
AI Voice Agent ↗
A phone agent built with Gemini Live and Twilio that follows call objectives and uses configured tools.
Scientific GPT ↗
A GPT language model implemented from scratch, including tokenization and distributed training.
Hospital Triage AI ↗
A reinforcement learning research prototype for simulated patient decisions and resource coordination across a ward.
Tox-NIO ↗
Optimizing molecular features with projected gradient descent to reduce predicted toxicity.
AI Image Transformer ↗
An image editing application that analyzes a source image, generates changes, and uses feedback for revisions.
Generative College Search ↗
A chatbot that retrieves university website content to answer student questions.
Research
Occluded object detection benchmarking ↗
2026 / COMPUTER VISION
Benchmarking YOLO11 and YOLO26 under occlusion for trash sorting, with Dr. Tae-Hoon Kim. Includes experiments fine tuning YOLO11n for occlusion.
Quantum assisted medical image generation
STARTED SEPTEMBER 2025
Hybrid quantum and classical generative models with Dr. Tae-Hoon Kim.
Depression detection using speech and text
JUN to SEP 2025
BERT embeddings and MFCC audio features. F1 score of 0.70 in my project evaluation. Mentored by Dr. AmirHossein MajidiRad. Manuscript in preparation for arXiv submission · August 2026.
Technical skills
Programming languages
Python (Proficient), C, SQL
Model development
PyTorch, CNNs, Deep learning, Transformers, Model training, Fine-tuning, PEFT (LoRA, QLoRA), Hyperparameter tuning, XGBoost, scikit-learn
Agents & generative AI
GPT, LLaMA, Prompt engineering, Context engineering, Embeddings, RAG, LLM fine-tuning, Prompt optimization, LangChain, CrewAI, SmolAgents, Strands Agents, Claude Agent SDK, MCP, Multi-agent systems, Autonomous task execution
Retrieval & search
Pinecone, FAISS, ChromaDB, BM25, Vector search, Hybrid search, Semantic search, ANN, HNSW, Vector indexing, Reranking
Evaluation & reliability
LLM evaluation, RAG evaluation, Agent evaluation, Prompt evaluation, Tracing, Latency and cost monitoring, LLM guardrails, Responsible AI, Human-in-the-loop workflows, Auditability, Tenant isolation, Access control
LLM optimization
Token optimization, Token cost reduction, Semantic caching, Model selection/routing, Latency optimization, Inference efficiency
Cloud & deployment
FastAPI, Docker, REST APIs, Cloud inference, RunPod, Hugging Face, Replicate, AWS Bedrock, AWS AgentCore, AWS SageMaker, EC2, S3, ECR, EKS, Git, GitHub, Linux, CUDA, MPI, AWS AI-DLC (AI-Driven Development Lifecycle)
Multimodal & reinforcement learning
YOLO, OpenCV, CLIP, BLIP, Image processing, STT, TTS, Audio feature extraction, Q-Learning, POMDP, RLHF
Data & foundations
NumPy, Pandas, Matplotlib, Probability, Statistics, Linear algebra
Certifications
IBM Data Science Professional Certificate
IBM & Coursera · 2024
AWS Cloud Practitioner
Amazon Web Services · earned 2023 · 2023
Python for Data Science
NPTEL · IIT Madras · 2023
Generative AI with Large Language Models
DeepLearning.AI · 2023
Python Basics for Data Science
IBM · 2020
Download my August 2026 résumé for the full details.