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Hi, my name is

Samiksha Kotgire

4th-Year B.Tech student in Biomedical Engineering at IIT Hyderabad.

I'm specializing in AI/ML, Backend Development, and C++ Systems. Built highly responsive, robust systems optimized for scale and exceptional user experience.

+91 8530776267 bm22btech11018@iith.ac.in
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Featured Projects

Low-Latency Fraud Detection Inference Engine

Context

A credit-card fraud detection pipeline with SMOTE for class imbalance and Optuna for hyperparameter tuning.

Challenge

Handling 0.17% class imbalance while optimizing inference latency.

Outcome

Architected an XGBoost model deployed as a Dockerized FastAPI REST service with async workers, connection pooling, and MLflow-backed tracking.

Python XGBoost FastAPI Docker MLflow

High-Performance Threading Framework

Context

A custom C++ multithreading framework tailored for accelerating matrix operations.

Challenge

Maximizing CPU utilization and reducing thread contention during complex matrix math.

Outcome

Achieved over 60% performance improvement and conducted systematic benchmarking across various thread configurations.

C++ Multithreading Performance Optimization

Order Matching Engine

Context

A stock order matching system implementing the Price-Time Priority matching algorithm.

Challenge

Efficiently processing high-frequency stock orders and managing persistent storage.

Outcome

Engineered in C++17 using std::map and std::queue, and integrated SQLite3 for persistent storage of users, orders, and trade history.

C++17 SQLite3 Data Structures Algorithms

Movie Recommendation System

Context

A content-based movie recommendation platform.

Challenge

Extracting semantic meaning from movie metadata to generate accurate recommendations.

Outcome

Built using TF-IDF vectorization and SVD, integrating TMDB API for dynamic movie poster retrieval within an interactive Streamlit application.

Python TF-IDF SVD Streamlit API Integration

Experience

AI Engineer Intern

Orica
Recent
  • ▹ Tech Stack: Azure (Function Apps, App Services, Cognitive Search, KeyVault), OpenAI, GraphRAG, LanceDB, Python, LLMs
  • ▹ Architected production-grade HR chatbot infrastructure by replicating the production system into a secure Azure-based development environment...
  • ▹ Engineered a vector-semantic hybrid search pipeline in Azure Cognitive Search by combining BM25 keyword ranking with OpenAI embedding-based vector search...
  • ▹ Implemented a Graph RAG framework over unstructured HR and patent text by designing prompts for entity-relation extraction and constructing knowledge graphs with LanceDB and node2vec...

Education & Coursework

IIT Hyderabad

B.Tech in Biomedical Engineering (7.50 CGPA)
Class of 2026
Computer Science & Machine Learning

Introduction to Programming, Data Structures & Applications, Artificial Intelligence, Introduction to Embedded Systems, Foundation of Natural Intelligence

Mathematics & Analytics

Mathematical Modeling and Systems Biology, Elementary Linear Algebra, Calculus, Transform Techniques, Differential Equations, Probability and Random Variables, Introduction to Statistics, Complex Variables, Numerical Methods

Technical Skills

Languages

Python
C
C++
SQL
MATLAB

CS Fundamentals

DSA
OOP
Operating Systems
DBMS

Libraries

NumPy
Pandas
Matplotlib
Seaborn
Scikit-Learn
TensorFlow
NLTK
SciPy

Tools

Git
GitHub
VS Code
Docker
Docker Compose
Solid Edge
Simulink
PostgreSQL

Microsoft Azure

OpenAI Integration
Cognitive Search
Function Apps
Blob Storage
App Service Plans
Storage Accounts

AI/ML

Large Language Models
RAG Architecture
Graph RAG
Text Embeddings
Transformer Models
Hybrid Search