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AI Engineer with 2+ years in LLMs & Generative AI.
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AI/ML Developer specializing in Large Language Models (LLMs), Generative AI, and NLP solutions, with expertise in LangChain, FAISS, Prompt Engineering, and AWS Cloud. Proven ability to design end-to-end AI systems, including data pipelines, custom LLM applications, and deployment of scalable backend APIs. Passionate about building cutting-edge AI applications that combine reasoning, context-awareness, and generative capabilities. Also deeply interested in Machine Learning, Deep Learning, and advanced neural architectures for driving intelligent automation and predictive analytics.
Andhra University
Master's · Mathematics
N/A – June 30, 2026
Margadarsi Computers
Junior Developer(AI-ML)
December 1, 2023 – January 1, 2026
Hyderābād, Telangana, India
Intern Career
Data Science Intern
May 1, 2023 – October 1, 2023
India
Multilingual News Metadata Generator
June 1, 2026 – Present
Built an AI - powered tool LangChain, and FAISS to generate metadata (title, summary, keywords) for Telugu news, leveraging semantic search and few-shot prompting with LLMs. Integrated Chat Ollama (LLAMA3) for bi-directional translation between Telugu and English, enabling multilingual content generation and summarization. Engineered custom prompts and embeddings to deliver context – aware outputs including headlines, summaries, highlights and keyword extraction in both English and Telugu.
Telugu Grammar Correction Web App
June 1, 2026 – Present
Developed a Generative AI – based grammar correction tool using Google Gemini Pro, enhancing regional language NLP. Implemented Unicode – based regex filtering to extract Telugu content from mixed – language inputs, ensuring accurate grammar correction by the LLM. Optimized correction workflow and caching strategy, reducing response time by 35% and improving overall accuracy by 20% compared to baseline implementations.
AWS Rekognition Image Processing & Watermarking
June 1, 2026 – Present
Automated object and face detection workflows using AWS Rekognition, integrated watermarking logic, and batch image processing pipelines. Developed binary occupancy matrix and algorithms for optimal watermark positioning, ensuring no overlap with detected objects or faces. Optimized image quality and watermark transparency based on resolution, enhancing visual consistency across various image sizes. Automated batch processing of images, utilizing Python (PIL, boto3) for efficient image manipulation and cloud-based integration.
HR Resource Chatbot
June 1, 2026 – Present
Developed an AI – driven HR resource chatbot using Streamlit, enabling recruiters to query talent profiles using natural language with semantic search (FAISS) and LLM integration (Ollama). Implemented hybrid search architecture: leveraged semantic retrieval with FAISS and fallback to lexical search for robust candidate matching across various skills, domains, and locations. Integrated prompt engineering and embeddings to deliver accurate candidate recommendations and context-aware responses. Optimized recruitment workflows, reducing manual screening time by 60% compared to traditional keyword-based search systems.
Eenadu Quiz Validation System
June 1, 2026 – Present
Developed an newspaper quiz validation pipeline for Eenadu quiz sheets submitted as images. Implemented corner marker detection, color verification, and background authentication using OpenCV and NumPy. Extracted Quiz ID, Quiz Date, Mobile Number, and user-attempted options via OCR (Tesseract) and segmentation logic. Added debug visualization utilities for validation transparency and accuracy monitoring. Deployed the complete solution using FastAPI with modular image-processing and data-validation workflows for automated verification.
Post Graduate Program in Data Science and Analytics with Advanced MLTrack
Unknown
June 1, 2026 – Present
AWS Cloud Quest: Cloud Practition
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio shows a diverse range of applications, from HR chatbots to news metadata generators and image processing, indicating adaptability and a broad interest in applying AI solutions to different domains. The focus on regional language NLP (Telugu) suggests an appreciation for diverse user needs and a willingness to tackle niche challenges. The experience as a Junior Developer and Intern, coupled with ongoing education, indicates a growth-oriented mindset, which is a positive cultural fit for dynamic tech environments. However, the limited professional experience (less than 2 years) might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new AI/ML technologies, as evidenced by staying updated with developments and applying knowledge to enhance project outcomes. Their project descriptions indicate an ability to optimize workflows and improve efficiency, which aligns with operational effectiveness. The focus on building end-to-end AI systems suggests a problem-solving mindset.