Player Profile
SYSTEM OPERATOR
ML Engineer & Backend Developer building intelligent systems — from solar power forecasting pipelines to health-tech platforms powered by LLMs, RAG, and real-time data.
ACTIVE
B.Tech Computer Science
HMR Institute of Technology and Management
Expected 2026 • CGPA: 8.2/10
ONLINE
Core Identity
Specializing in ML pipelines, time-series forecasting, GenAI/RAG systems, and backend API development. Passionate about building data-driven solutions that create real-world impact.
Network Endpoints
email: abhijeetkartikeya@gmail.com
github: /abhijeetkartikeya
linkedin: /in/abhijeet-kartikeya-4626531ba
phone: +91 8287559320
Mission Logs
COMPLETED OPERATIONS
End-to-end systems built with precision engineering.
DEPLOYED
Solar Power Forecasting Model
- End-to-end ML pipeline aggregating real-time weather data from multiple REST APIs with 15+ engineered features
- Time-series ingestion with InfluxDB and automated model retraining scripts
- XGBoost/Random Forest models reducing forecast MAE by ~12–15%
- FastAPI prediction endpoints for power trading teams
DEPLOYED
MediVault — Medical Report System
- OCR + NLP pipelines extracting clinical data into chronological patient timeline in PostgreSQL
- RAG with LangChain + OpenAI API for doctor-like health summaries and anomaly detection
- Tracks vital trends (blood sugar, cholesterol, BP) and flags anomalies
- Dashboard reduces record retrieval time by ~80%
Skill Matrix
TECH ARSENAL
Systems, frameworks, and tools in the operational stack.
Languages
Python95
SQL80
Data & ML
Pandas92
Scikit-learn88
XGBoost90
TensorFlow72
NumPy90
Backend & APIs
FastAPI90
REST API88
Data & Monitoring
InfluxDB85
Grafana78
Prometheus70
GenAI & LLM
RAG88
LangChain85
Prompt Eng.82
Agentic AI75
Developer Tools
Git/GitHub90
Docker82
Jupyter92
Experience Timeline
DEPLOYMENT HISTORY
Mission deployments and field operations.
FEB 2026 — APR 2026
ML / DATA INTERN
Tata Power Trading Company Ltd.
- Developed solar power forecasting system integrating multi-source weather APIs using geo-coordinates
- Engineered features and trained XGBoost/Random Forest models — reduced MAE by ~12–15%
- Delivered day-ahead generation forecasts for data-driven power trading and grid load planning
JUL 2025 — SEP 2025
IT DEPARTMENT INTERN
Central Bank of India
- Automated structured reporting tasks using Python — reduced processing time by ~25%
- SQL query validation, debugging, and database consistency checks in production
- System monitoring and issue resolution to maintain data integrity
Achievements
COMMENDATIONS
★ Research Paper
Procedural Obstacle Generation in an Endless Runner Game — IRJMETS Vol.7, Nov 2025, Peer-Reviewed.
★ Smart India Hackathon
Selected in SIH 2024 & 2025. National-level innovative solutions.
★ Docker Certificate
Professional certification in containerization and orchestration.
★ Applied ML Cert
Supervised learning, regression, classification, and feature engineering.
Comm Terminal
ESTABLISH CONNECTION
Open communication channels. Ready for incoming transmissions.