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AI Engineer with 1+ years in Computer Vision & NLP
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with hands-on experience in Computer Vision, NLP, and Generative AI applications. Skilled in building intelligent automation systems using deep learning, RAG pipelines, and scalable API integration. Passionate about developing real-world AI solutions with strong problem-solving and deployment skills.
Sri Venkateswara College of Engineering (Affiliated to JNTUA)
B.Tech · CSE (Artificial Intelligence and Machine Learning)
August 1, 2021 – June 30, 2025
Sri Chaitanya Junior College
Intermediate · MPC
June 1, 2019 – May 31, 2021
Reintenspark Technology Private Limited
AI/ML Developer
December 1, 2025 – Present
Bengaluru, Karnataka, India
NKB Playtech Private Limited
AI Engineer Intern
October 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
EXCELR (AICTE Approved)
Artificial Intelligence and Machine Learning Intern
May 1, 2024 – July 31, 2024
India
VectorIQ RAG
June 1, 2026 – June 30, 2026
Built RAG-based intelligent search system using FAISS embeddings and Mistral-7B. Processed and embedded 12K+ text segments using transformer-based models to power fast semantic similarity search.
View ProjectHeart Disease Prediction System Using ML Algorithms
June 1, 2026 – June 30, 2026
Engineered end-to-end ML system trained on clinical datasets of patients, achieving high prediction accuracy. Created visualization dashboards reducing analysis time by 30%.
View ProjectAI Casino – Video Augmentation & Generative AI Pipeline
June 1, 2026 – June 30, 2026
Built object detection & segmentation pipeline using SAM (Segment Anything Model) for video frame analysis. Developed component swapping and generative pipeline using Stable Diffusion for dynamic background and table modification. Generated 3-5x synthetic video variations from a single input.
Interview Intelligence Platform
June 1, 2026 – June 30, 2026
Built multimodal AI system (CV + NLP) for interview evaluation. Generated structured outputs: transcripts, emotion labels, and behavioral insights. Designed trust scoring system improving recruiter decision speed by 40%.
Data Science
Internshala
June 1, 2026 – Present
Mathematics for Machine Learning
NPTEL
June 1, 2026 – Present
AWS Generative-AI
AWS Skill Builder
June 1, 2026 – Present
Python Technology Stack
Infosys Springboard
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG systems to video augmentation and interview intelligence, indicates a broad interest in AI applications. Their academic focus on AI/ML and professional experience as an AI/ML Developer align well with an AI Engineer role. The inclusion of personal projects alongside professional ones suggests initiative and a continuous learning mindset. However, the candidate is still pursuing their B.Tech degree, which might impact immediate cultural fit in a senior role requiring extensive industry experience.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills and a passion for developing real-world AI solutions. Their experience in leading development and mentoring interns suggests good operational fit and potential for team collaboration. The descriptions of project impact (e.g., reducing workload by 80%, improving decision speed by 40%) indicate a results-oriented mindset. However, without specific psychometric or English test scores, a deeper assessment of communication clarity, work attitude, and stress handling is not possible.