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AI Engineer with 1+ years in Machine Learning & Generative AI
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven AI Engineer with experience building and deploying production-grade AI/ML solutions for Fortune 500 clients including Qualcomm and General Motors. Skilled in the full ML lifecycle — from data engineering and model development to API integration and deployment. Hands-on expertise in deep learning, NLP, generative AI (LLMs, RAG, prompt engineering), and scalable backend systems. Currently at People Tech Group, seeking a high-impact AI engineering role to drive intelligent automation and next-generation AI product development.
St. Mary's Engineering College, Hyderabad
Bachelor of Technology · Artificial Intelligence & Machine Learning
August 1, 2025 – June 30, 2025
People Tech Group
AI Engineer
July 1, 2025 – Present
India
Spotmies LLP
Backend Developer Intern
March 1, 2025 – June 30, 2025
India
HAMOA — AI Signal Intelligence Platform
July 1, 2025 – June 30, 2026
Developed deep learning models for signal classification and edge inference optimization aligned with Qualcomm's hardware roadmap Built NLP pipelines to parse and classify structured/unstructured semiconductor documentation, accelerating internal knowledge retrieval Implemented model compression and quantization experiments to evaluate inference performance on resource-constrained devices Integrated AI modules with backend APIs enabling real-time prediction delivery to downstream Qualcomm engineering tools
SDV — Software-Defined Vehicle AI Module
July 1, 2025 – June 30, 2026
Built predictive analytics models to analyze in-vehicle sensor telemetry data, supporting GM's SDV platform intelligence layer Designed and deployed a REST API service layer enabling AI-driven insights to be consumed by vehicle software services Performed data cleaning, feature engineering, and model evaluation on large automotive datasets using Python and Pandas Contributed to model monitoring and retraining pipelines ensuring consistent prediction accuracy across fleet deployments
AGRITECH — Crop Recommendation System
January 1, 2025 – December 31, 2025
Built an end-to-end ML solution providing intelligent crop recommendations based on soil and environmental parameters Applied feature engineering and preprocessing on real-world agricultural datasets; evaluated multiple classification models Delivered a Flask-based API enabling seamless integration of the prediction engine with web front-ends
Crime Pattern Prediction System
January 1, 2025 – December 31, 2025
Designed predictive ML models to identify crime occurrence patterns and hotspot classifications from historical datasets Performed extensive EDA, data cleaning, and visualization; achieved strong classification accuracy using ensemble methods
ASHTA NETWORK — Religious Tourism Web Application
January 1, 2025 – December 31, 2025
Built a full-stack tourism platform covering 18 Hindu Shakti Peethas with visitor management and ticket reservation features Designed secured REST APIs for booking transactions; structured scalable backend routines ensuring stable request–response cycles
Cultural Fit Analysis
The candidate's project diversity, including professional work for Fortune 500 clients and personal projects, indicates a proactive and versatile approach to problem-solving. The target role of 'AI Engineer' aligns perfectly with their professional experience and stated career goals. Their continuous learning in Generative AI and LLM fine-tuning shows a commitment to staying current with industry trends, which is a positive cultural fit for an innovative AI team.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills, having worked with cross-functional teams (data engineers, product managers, QA) in agile environments. Their experience in enterprise settings suggests an ability to handle complex project requirements and stakeholder management. The resume highlights strong communication skills, which is crucial for an AI Engineer role involving collaboration and presenting technical solutions.