Hello, I'm Eswar Gupta!
Undergraduate in Electrical Engineering at IIT Madras.
View ResumeAchievements
- Secured All India Rank of 737 in JEE Mains 2023 out of 1.3 million applicants, placing within the top 0.05 % nationally with an EWS rank of 66.
- Ranked in the top 0.5% in JEE Advanced 2023 among 1.9 lakh+ candidates, securing an All-India Rank of 2167 and an EWS category rank of 213.
- Achieved 3rd Runner-Up in the 13th National Abacus & Mental Arithmetic Competition among over 20,000+ participants in the Indo-Pacific region.
- Achieved a Codeforces rating of 1336, with a best-ever rank of 1703 in Div2 among 35,000+ participants overall. Codeforces Handle: Eswar_Gupta.
Skills
Languages & Libraries
C, C++, Python, Verilog, AVR, ARM, Arduino, NumPy, pandas, Matplotlib, cython, NLTK, Flask
Frameworks & Tools
MATLAB, Jupyter Lab, GitHub, Notion, LaTeX, Vivado, Render, Microchip Studio, Easy EDA
Relevant Coursework
- Andrew Ng ML specialization
- Applied Programming (Python)
- Probability
- Signals & Systems
- Digital Signal Processing
- Functions of Several Variables
- Series & Matrices
- Control Systems*
- C, Python Programming
- Data Structures & Algorithms
- Digital Systems
- Analog Systems
- Microprocessor Theory & Lab
- Solid-State Devices
- Computer Organization*
* Courses marked “” Will be taken by me in next sem.
Internship
Medical Image Processing using AI, HTIC Intern (June–July 2024)
- Developed training‑data pipeline and trained YOLO model to fool‑proof a neurovascular instrument (Artensis).
- Converted SGL/LVM files into B‑mode ultrasound images and annotated nerve locations for supervised training.
- Engineered overlap‑feature to control image density per file, balancing efficiency and compute cost.
- Implemented smart deadband filters to suppress non‑physiological artifacts (e.g. gel‑contact noise).
- Deployed YOLOv8 on images to detect biological structures, leveraging wall‑motion polarity to distinguish vessels.
- Processed data from 300 patients, generating 2 million+ images for ML training.
- Used Python for data cleaning, augmentation and unbiased performance analysis.
Upcoming JP morgan and chanse intern May-July 2026
My Projects
Heart Disease Tracker
Analysed heart disease dataset to predict patient risk; goal was accurate binary classification using health parameters. Trained Neural Network, KNN, Random Forest , xgboost algorithms and Random Forest performed best with 89% accuracy
View on GitHub
Movie Recommender Systems
Engineered comprehensive movie recommender systems using datasets like Movie-Lens, implementing collaborative filtering from scratch and leveraging neural networks for content-based filtering to personalize user recommendations.
View on GitHub
News Perspective Generator Web App
AI‑powered web app (Render) using Python + Gemini API. Scrapes user‑provided URLs via Flask & BeautifulSoup; outputs UPSC/Political/Business‑lens analyses via Hugging Face.
Applied Programming Lab
- Simulated circuit‑solver: node voltages, branch currents & power from .ckt files.
- Python scripts: keyboard‑usage analysis, heatmap generation, finger‑travel‑distance calc.
- Simulated annealing to optimize keyboard layouts; animated results via Matplotlib.
- DAS acoustic imaging: obstacle detection & effect of mic spacing/sampling rate.
Machine Learning Fundamentals
- Implemented core ML algorithms from scratch: Linear/Logistic Regression, Multiclass Classification, and Neural Networks
- Applied advanced practices: model evaluation, bias/variance analysis, regularization, and learning curves
- Built unsupervised learning algorithms including K-means clustering and anomaly detection systems
- Developed NLP applications using NLTK, implementing text preprocessing, BOW, TF-IDF, and Word2Vec embeddings
Electronics Club SONIC
- Real‑time noise filtering for crowds, adapting filter coefficients to ambient noise.
- LMS‑based dual‑mic algorithm in MATLAB → deployed on STM32 in embedded C.
- Correlated mic‑2 noise‑only signal with mic‑1 to isolate speech.
- Wrote embedded‑C WAV encode/decode for end‑to‑end audio processing.
Positions of Responsibility & Social Impact
Electronics Club Coordinator
- Organized Summer School with 10,000+ online registrants across 14 verticals, coordinating and teaching tech sessions.
- Interviewed 100+ candidates; co-managed 30-member Maker Fest team building a custom gaming console.
- Guided 200+ students in building a 7-note piano using Arduino, resistors, foil, and fundamentals of physics and coding.
- Taught 200+ students ESP32 basics, programming , IOT , and physics-based projects in a 3-class offline workshop series.
Avanti Fellows Student Mentor
Avanti Fellows is India’s largest nonprofit providing free, high‑impact STEM coaching to underserved students.
- Co-mentored 40 underprivileged students as a part of an NGO that impacts 10k+ children all over India.
- Fostered a sub-group of 4 mentors, guiding mentees from JNV Pondicherry in their preparation for JEE 2025.
Class Representative
- Elected by the students of Electrical Engineering admitted in 2023, to represent our batch at various levels.
- Resolved slot clashes, managed holidays, and coordinated rescheduling by working closely with faculty and students.
- Acted as a bridge between students, HOD, and administration to address grading and academic concerns.
About Me
I am an Electrical Engineering student at IIT Madras, with a background from Bhashyam College. Originally from Andhra Pradesh, I am a proactive individual who readily learns from others and adapts to new technologies and environments.
My interests span mathematics, technology, signal processing, AI, and communications. As an extrovert, I enjoy connecting with new people, and I have a keen interest in news and social welfare activities.
Get in Touch
I'm always open to new opportunities, collaborations, or just a friendly chat. Feel free to reach out via any of the methods below.