Hrushikesh Etikikota 🚀

👤 About Me

Hey there! 👋 Thanks for visiting my portfolio. This space showcases my work, projects, and what excites me.

👨‍💻 Current Position

Current Job Status: Actively Looking for Jobs
Notice Period: Immediate Joiner
Job Locations: Remote (Preferred), Hyderabad, Bangalore
Fields of Interest: Machine Learning, Generative AI, Deep Learning, LLM Evaluation and Training, Software Engineering

🔍 What I Do

I enjoy exploring the intersection of technology, problem-solving, and innovation. Whether it’s coding, AI, or performance optimization, I’m always looking for new challenges.

🏆 Competitive Coding Profiles

🎓 Education

Degree	Institution	Duration	Grade/CGPA
MTech in CSE	Indian Institute of Technology, Gandhinagar	2022-2024	8.71/10
BTech in CSE	Sri Venkateswara University College of Engineering	2017-2021	8.68/10
Intermediate	Sri Siddhartha Junior College, Madanapalle	2015-2017	988/1000
SSC (10th)	SPVB High School, Mulakalacheruvu	2015	9.8/10

🚀 Projects

Codes available on my GitHub

👁️ FlexTree: Gaze-Controlled Interfaces

Jan 2023 - Jun 2024

Developed a novel intelligent multimodal virtual tree-based text entry interface using Tkinter with audio/visual feedback.
Built a lightweight language model for English (300k+ tokens) using PPM and NCP for character prediction.
Integrated Eye-Tribe Eye Tracker; achieved typing speeds of 30.70 LPM (mouse) and 18.47 LPM (eye-tracker), 2.7x faster than Dasher.
Publication: “Predictive Tree-based Virtual Keyboard for Improved Gaze Typing” accepted at IEEE SMC2024.

🛡️ Helmet Detection & License Plate Extraction

Feb - Jun 2021

Trained YOLOv3 on Darknet with a custom-labeled dataset (4000 images); achieved 97.51% average precision.
Built a TensorFlow model for automated license plate extraction using improved model weights.

📈 Machine Learning Portfolio

Gold-Stock-Price-Prediction: Stock price predictor using SVM and Regression on yfinance data.
Loan-Prediction-System: Comparative analysis of GaussianNB, SVC, XGBoost, and Random Forest.
Breast-Cancer-Detection: Logistic Regression model built from scratch (88.3% accuracy) compared with scikit-learn.
Airfoil-Self-Noise-Prediction: Applied Linear, Lasso, Ridge, KNN, and XGBoost for acoustic noise prediction.

💼 Experience

🤖 Business Analyst, Turing Enterprises Inc | Feb 2026 – Apr 2026

Conducted RLHF side-by-side evaluations for a SOTA model responses to optimize LLM performance.
Built coding problems by evaluating on rubrics to identify reasoning and logic gaps in SOTA models.

🤖 LLM - Python Engineer | Turing Enterprises Inc | Oct 2024 - Jan 2026

Focused on prompt engineering, function calling, and structured output generation.
Creating notebooks for Supervised Fine Tuning (SFT) to enhance LLM performance and reasoning.

🎓 Teaching Assistant | IIT Gandhinagar | July 2022 – June 2024

Digital Systems: Guided 40+ students in Verilog labs (two semesters).
Databases: Assisted 160+ students with assignments and technical support.
Computing (Python): Supported 420+ students in Python programming labs.

✍️ Freelance Computer Science Tutor | CourseHero | May 2021 - June 2022

Supported 250+ students with a 96% helpful rate across diverse CS topics.

🏆 Achievements

🏅 PRATIBHA AWARD: For academic excellence in 10th standard (Govt. of AP).
🥇 GATE 2022: Secured Rank 981 out of 77,257 students.
📊 EAMCET 2017: Secured Rank 2971 out of 1.8 lakh students.
💻 Expert Coder: Recognized by Coding Ninjas (Top 10.74% globally).
♟️ Chess Enthusiast: 1700+ rating on Lichess.

🛠 Skills

💻 Languages & Concepts

Python, C, C++, SQL, HTML, Verilog, OOPS, Data Structures, Algorithms

🛠️ Tools & Libraries

NumPy, Pandas, Matplotlib, Scikit-learn, Git, GitHub, Django, Tkinter, SQLite3, PyTorch, TensorFlow

🤖 AI Domains

LLM Training, Prompt Engineering, Deep Learning, Machine Learning, Computer Vision

📄 Resume

Download / View My Resume (PDF)

📬 Contact Me

Feel free to connect with me!