OPEN TO SOFTWARE ENGINEERING • DATA ANALYTICS • AI/ML ROLES

Ankita
Devi

Electronics & Instrumentation Engineer at NIT Silchar with a deep passion for Machine Learning, AI systems, and full-stack development. Knight on LeetCode. Builder of smart diagnostic tools.

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Ankita Devi
ML
8.91
CGPA (6 Semesters)
800+
Problems Solved
1852
LeetCode Peak Rating
200+
Students Mentored
Work
Featured Projects
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DiaGNO
Mar 2025 – Apr 2025

Smart Disease Prediction System — TF-IDF + cosine similarity retrieval to predict top 5 probable diseases from natural language symptoms. Adaptive questioning via decision trees improved diagnostic precision by 15%. Curated ~1,151 entry dataset from Mayo Clinic.

TF-IDF NLP Decision Trees Flask Python
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Image Merger Tool
Feb 2025 – Mar 2025

AI-Driven Multi-Modal Art Generator using a 3-model pipeline (CLIP Interrogator → T5 → Stable Diffusion). Generates 1024×1024 images blending uploaded visuals with text prompts. Reduced inference latency by 62.5% (240s → 90s), achieving 81.7% feature retention.

Stable Diffusion CLIP T5 Flask Gradio
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E-Clinic — Predictive Health Diagnosis System
Oct 2024 – Dec 2024

Benchmarked Random Forest, XGBoost, and Neural Networks for health scoring — Random Forest achieved Test MSE = 0.0770, reducing error by 50.7% vs Neural Networks. Integrated BLOOMZ-560M chatbot fine-tuned on MedQuAD (47k Q&A pairs) for domain-specific recommendations across diet, sleep, fitness, and treatment.

Random Forest XGBoost BLOOMZ MedQuAD Flask Python
Experience
Research & Roles
Moderator — Machine Learning Club, NIT Silchar
Aug 2024 – Present · Onsite

Conducted ML workshops and coding sessions for 200+ students covering supervised learning, NLP, and computer vision. Mentored juniors in hands-on projects. Co-organized Neurathon 2025 — a North-East level hackathon with 100+ participants building AI/ML solutions.

Machine Learning Specialization — Coursera (Andrew Ng)
Training · Certified

Completed modules in Supervised ML, Advanced Algorithms, and Unsupervised Learning. Implemented regression, classification, and clustering models using Python, TensorFlow, and scikit-learn.

Toolkit
Skills & Technologies

A blend of low-level systems understanding from EIE and high-level ML/AI engineering. Comfortable from embedded hardware to deploying neural networks and web applications.

Languages
Python C++ C Java JavaScript ReactJS HTML5 CSS3 SQL
ML / AI
TensorFlow scikit-learn Keras Pandas NumPy OpenCV NLTK
Tools & Platforms
Git / GitHub MySQL Arduino MATLAB LabVIEW CoppeliaSim Xilinx VS Code
Competitive Programming
Coding Profile
Knight
LeetCode Badge
1852
Peak Rating
800+
Problems Solved
3+
Platforms
LeetCode
Codeforces · GFG
Recognition
Honors & Awards
🏆 Winner
Data Strata Hackathon
Nov 2024 · ML Club, NIT Silchar
🥉 Top 3
Riddlex
Apr 2025 · CSS Society, NIT Silchar
Finalist
Neurathon 2025
Feb 2025 · ML Club, NIT Silchar
Top 12
Robotrix 2025
Dec 2024 · NIT Karnataka
Academic
CGPA 8.91 · Class 10 HSLC 98.5% · Class 12 HSC 91.8%
NIT Silchar · Vivekananda Vidya Niketan · Sai Vikash Jr College
Education
Academic Background
2023 – 2027
B.Tech — Electronics & Instrumentation Engineering
National Institute of Technology, Silchar · Silchar, India
CGPA: 8.91 (6 Semesters)
2021 – 2023
AHSEC HSC Class 12
Sai Vikash Junior College, Guwahati · Assam, India
91.8%
2008 – 2021
SEBA HSLC Class 10
Vivekananda Vidya Niketan, Tihu · Assam, India
98.5%

Open to Opportunities

Eager to contribute and grow through opportunities in Software Engineering, Data Analytics, and AI/ML.