Abhinav Vajinapalli
Software Developer
Passionate about AI, Machine Learning, and Software Development. Building innovative solutions with modern technologies.
Software Developer
Passionate about AI, Machine Learning, and Software Development. Building innovative solutions with modern technologies.
I'm a passionate Computer Science & AI student at SR University with a strong foundation in software development, artificial intelligence, and cloud technologies. I love building innovative solutions that solve real-world problems.
My journey in technology has been driven by curiosity and a desire to make a positive impact. I specialize in AI/ML and software development with hands-on experience in building scalable applications.
I'm actively seeking opportunities to apply and enhance my technical skills in software development, AI, and emerging technologies.
SR University, Warangal, India
2023 - 2027
CGPA: 9.18/10
Relevant Coursework: Data Structures, Algorithms, Machine Learning, Deep Learning, Cloud Computing, Database Systems, Software Engineering
IIT Madras
May 2024 - Present
Online degree program focusing on advanced data science, statistical analysis, and machine learning applications
iHub-Data, IIIT-H
May 2025 – Aug 2025
Detect vehicles and classify overtaking maneuvers in video streams for autonomous decision-making. Built end-to-end inference pipelines with transfer learning from COCO pretrained weights; engineered distance estimation and angle calculation modules from video frames; applied image augmentation for robustness; optimized inference via batching, GPU acceleration, mixed precision for 30+ FPS real-time performance.
Results: Achieved Precision 0.909, Recall 0.953, F1 0.930, mAP@0.5 0.818, distance error 2.81m
View on GitHub →Predict sepsis and mortality in ICU patients by fusing time-series physiological data and clinical text. Architected multimodal transformer with dual encoders (time-series LSTM + Clinical-BERT text) fused via cross-attention; built end-to-end MIMIC-IV pipeline (extraction, preprocessing, feature engineering); implemented self-supervised pretraining and fairness audits.
Status: Applied stratified CV with multiple seeds; ongoing ablations and inference optimization tracked in Weights & Biases
Optimize inventory replenishment policies via Reinforcement Learning to minimize costs, reduce stockouts, and maintain 100% service levels across 250 SKUs. Designed DQN agent for autonomous replenishment; formalized state space (stock, demand lags, supplier reliability) and multi-objective reward function; built scalable training pipeline with hyperparameter grid search; deployed real-time forecasting (7-day demand with CI).
Features: Interactive dashboard benchmarking DQN vs. baselines (fixed-reorder, EOQ, random)
September 2025
Ranked 21st out of 50 teams in internal SIH at SR University. Led the team in designing and developing Surakshasetu - a Smart Tourist Safety monitoring system using AI and Blockchain with MongoDB backend and React frontend. Built a robust monitoring system that handles tourist safety policies and provides admin notifications including SOS alerts, tailored for Tourist Department Administration.
View DetailsOngoing
Consistently among top academic performers, awarded by the Head of Department (CS&AI) for outstanding performance and dedication to academic excellence. Maintained a CGPA of 9.18/10 throughout the program.
View CertificateIIIT Hyderabad
Comprehensive training in artificial intelligence and machine learning concepts, algorithms, and practical implementations.
View CertificateIBM SkillsBuild
Advanced training in professional development, technical skills, and industry best practices through IBM's comprehensive learning platform.
View CertificateAmazon Web Services
Foundational knowledge of cloud computing concepts, AWS services, security, architecture, pricing, and support.
View CertificateI'm always open to new opportunities and interesting projects. Feel free to reach out if you'd like to collaborate or discuss technology!
