Present
Graduate Engineer Trainee (GTE)
Coforge
Hyderabad, India
Experience
Aug 2025 – Jul 2026
Machine Learning Intern
Anmoul Infomatics
Jamshedpur · Remote
Prepared analysis-ready data, built document processing workflows, and developed semantic search and a RAG-based LLM knowledge assistant.
- Automated cleaning, validation, and preprocessing of structured Excel/CSV datasets using Python, preparing analysis-ready data for exploratory data analysis and visual reporting.
- Built document processing workflows using Tesseract OCR, NLP, and document classification to extract text and structured fields from scanned PDFs and multi-format files.
- Developed embedding-based semantic search and an LLM knowledge assistant using RAG; refined document chunking and similarity-based retrieval to improve response relevance and grounding.
Projects
- Won 1st Place at FIFS Sports Data Gameathon 2025 2.0.
- Engineered player-form, venue, and matchup features using pandas and NumPy for IPL fantasy-point prediction with PyCaret models.
- Implemented PuLP integer programming to optimize 11-player teams within 100 credits and 15-player squads within 145 credits; deployed a Streamlit app with API-based data ingestion and CSV export.
- Built a Streamlit analytics assistant that converts natural-language queries into pandas code for CSV/Excel analysis and interactive Plotly visualizations.
- Implemented dataset profiling, AST-based code validation, and subprocess execution with a configurable 5-second timeout.
- Integrated Groq, Mistral, and Gemini APIs for LLM routing, provider fallback, and conversation summarization to support contextual follow-up queries.
- Developed a LIAR2 classification pipeline using claim text, fact-checker justifications, and speaker credibility, with 18,369 training and 2,296 test examples.
- Fine-tuned bert-base-uncased with a hybrid text–credibility classifier in PyTorch, achieving 0.8830 weighted F1 versus 0.8684 for SVM.
- Benchmarked SVM, Random Forest, and BiLSTM; engineered 50,000 TF-IDF features and applied SHAP to explain SVM predictions across 200 test samples.
Education
2022–2026
B.Tech in Computer Science
SOA · Institute of Technical Education and Research
Data Science specialization · 7.5 / 10 GPA