Faculty

EDUCATION

• MS (Information Technology) – International Institute of Information Technology, Hyderabad | CGPA: 8.7 | 2020–2022
• Executive PG Diploma (ML & AI, Online) – Upgrad, IIIT Bangalore | 2023–2024

PROFESSIONAL EXPERIENCE

• SDE – IIIT Hyderabad (IT Department) (Jul 2022 – Jul 2023)
• Worked on the IMS Website of IIIT Hyderabad, solving daily tickets (backend-focused)
• Developed a complete System Allocation Module from scratch
• Built smaller modules like Leave Calendar and System Tracker
• Contributed to Admissions Module (form design & workflows)
• Created auto-updating reports with real-time SQL queries across multiple databases
• Tech Stack: SQL, PHP, HTML, CSS
• Assistant Mentor – CIHL MSIT (IIIT Hyderabad) (Aug 2023 – Aug 2024)
• Guided students in Python Programming (basics to advanced: OOP, file handling, exceptions, NumPy, Pandas, Flask)
• Reviewed code submissions, ensuring best practices, readability, and optimization
• Helped debug errors and mentor on project design & architecture
• Mentored students on 20+ Machine Learning projects (classification, regression, clustering)
• Supported deployment with Git & project workflows
• Assistant Professor – Ace Engineering College, Hyderabad (Sep 2024 – Present)
• Faculty for Data Analytics (2 sections) and Machine Learning Lab (ongoing)
• Mentor for Project School, guiding 20+ full stack student teams (Python Flask, SQLite, ML deployment) (ongoing)
• Conducted Placement Training in Data Analytics for 2nd & 3rd year students
• Taught Basic DSA in Java (conditionals, loops, arrays, strings)
• Taught Programming for Problem Solving (PPS) – Java (1st Year, 2nd Sem)
• Taught PPS using Pseudocode & Scratch (1st Year, 1st Sem)
• Previously taught Big Data (Spark Lab) (completed last semester)

PROJECTS

• News Recommendation System – Hybrid model (Content-based + Collaborative Filtering), TF-IDF, Word2Vec, Matrix Factorization.
• Sentiment-Based Product Recommendation – NLP + ML (Logistic Regression, Naive Bayes, Collaborative Filtering).
• Sales Forecasting – Time Series (ARIMA, Exponential Smoothing, LSTM), dashboards for insights.
• System Allocation Module (IIIT Hyderabad) – Designed & developed full module for allocation & tracking.
• Leave Calendar & System Tracker – Tools for attendance & system monitoring.
• Admissions Module Enhancements (IIIT Hyderabad) – Forms, workflows, and automation.

SUBJECTS TAUGHT / TRAINING HANDLED

• 1st Year: PPS using Pseudocode & Scratch, PPS in Java
• 2nd Year: Data Analytics (Placement Training), Basic DSA in Java
• 3rd Year: Data Analytics, (Core Subject and Placement Training(previous semester), Big Data (Spark Lab – completed)
  Machine Learning Lab (ongoing), Project School (Full Stack + ML Projects, ongoing)

SKILLS

• Programming: Python (Advanced), SQL (Intermediate), Java (Basic DSA, PPS)
• ML & AI: Regression, Classification, Clustering, Recommendation Systems, NLP, Deep Learning
• Data & Big Data: Data Analytics, Time Series Forecasting, Spark
• Web Tech: Flask, PHP, HTML, CSS, SQLite
• Professional: Mentoring, Project Guidance, Code Review, Placement Training