AI Engineer with 1+ years in LLM-Powered Pipelines & Voice AI
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Results-driven AI/ML Engineer with 1+ year of production experience building LLM-powered pipelines, Voice AI agents, and ML systems. Proficient in Python, Scikit-learn, NumPy, Pandas, RAG architectures, and REST API development. Solid understanding of SDLC, Git-based version control, and cross-functional collaboration. Experienced deploying ML models end-to-end — from data preprocessing and model training to API integration and performance optimization. B.Tech CS (AI/ML), CGPA 8.5.
Vignan Institute of Management and Technology for Women
B.Tech · Computer Science & Engineering (AI/ML)
August 1, 2020 – June 30, 2024
Telezer Technologies
AI/ML Engineer
December 1, 2025 – May 1, 2026
India
Versatile IT Solutions
Software Developer (PHP/Python)
August 1, 2024 – January 1, 2025
India
PDAC Cancer Prediction using ML
January 1, 2024 – January 1, 2024
Built PDAC early-prediction model (88% accuracy) using KNN + Gradient Boosting; applied SMOTE to improve minority class recall by 22%. Validated via 5-fold cross-validation; documented model architecture, evaluation metrics, and preprocessing pipeline for reproducibility.
Phish Catcher – Web Spoofing Detection
January 1, 2024 – January 1, 2024
Built and trained a classification model achieving 93% accuracy on 10,000+ URLs; engineered 20+ web features reducing false-positive alerts by 18%. Applied SDLC: gathered requirements, pre-processed data, trained and evaluated model, deployed as Python backend service flagging 95% of malicious URLs.
Innovation Tech – Python Development Intern
Unknown
June 1, 2026 – Present
Hacker Rank Python Gold Badge
Hacker Rank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from web spoofing detection to cancer prediction and voice AI solutions, indicates a broad interest in applying AI/ML across different domains. The experience in both AI/ML Engineer and Software Developer roles suggests adaptability. The academic background in Computer Science & Engineering (AI/ML) and certifications like Hacker Rank Python Gold Badge demonstrate a proactive learning attitude. These aspects suggest a good potential cultural fit for a dynamic and technically driven environment, though direct cultural assessment data is unavailable.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with product and engineering teams, iterative debugging, and documentation, indicating a foundational understanding of teamwork and operational practices. The description of applying SDLC in projects suggests an organized approach to development. However, without direct assessment data, the depth of these soft skills and operational fit cannot be fully determined.