SYSurya Chandra Gowtham Yarlagadda
@suryachandragowthamy
Machine Learning and AI engineer focused on LLMs, generative AI, and deployments.
IndiaWhat I'm looking for
I am a Machine Learning and AI enthusiast with hands-on experience building and deploying LLM and generative AI systems for real-world use cases, particularly in document understanding and fintech workflows.
At Neurofin AI I designed prompt-driven pipelines, built a document classification model (~96% accuracy), and developed extraction and redaction solutions using LangChain, Llama-index, OpenAI and Vertex AI, improving verification workflows and client outcomes.
I have internship experience fine-tuning LLMs, deploying generative endpoints, and academic projects in computer vision (ConvLSTM for human action recognition, U-Net for satellite semantic segmentation). I seek to apply my skills to scalable ML/AI products that solve practical problems.
Experience
Work history, roles, and key accomplishments
AI Engineer
Neurofin AI
Apr 2024 - Present (1 year 9 months)
Built AI document systems using LangChain, LlamaIndex, GPT, Gemini for data extraction and verification, improving loan workflows. Created 96% accurate doc classifier, ranking top 3 in Astra by Credit Saison. Trained models for signatures, QR, clustering, Aadhaar redaction. Deployed on AWS, OpenAI, Vertex for AU, TataCap, Ugro, Jio. Led single and multi-class, page-level classification at scale.
LLM Prompt Engineer
Hum1AI
Sep 2023 - Mar 2024 (6 months)
Fine-tuned and deployed LLMs and engineered prompts for an executive assistant chatbot, applying QLoRA and LangChain to improve task-specific performance and generative endpoint reliability.
Research Intern
National Institute of Technology Karnataka
Apr 2022 - Aug 2022 (4 months)
Developed a cost-effective ConvLSTM model for human action recognition on the UCF-50 dataset, achieving 70% test accuracy and collaborating on dataset preparation and model evaluation.
Education
Degrees, certifications, and relevant coursework
NSNational Institute of Technology Karnataka Surathkal
Bachelor of Technology, Electronics and Communication Engineering
2019 - 2023
Grade: 6.59 CGPA
Activities and societies: Academic projects in semantic segmentation and human action recognition; participated in technical and cultural events.
Completed a BTech in Electronics and Communication Engineering with coursework and projects in machine learning, computer vision, and signal processing.
Tirumala Junior College
Pre-University, Pre-University (Science)
2017 - 2019
Grade: 9.94 CGPA
Activities and societies: Extracurricular participation in state-level cultural and academic competitions.
Completed Pre-University education with strong academic performance focused on science subjects.
Bhashyam Public School
Secondary School Certificate, Secondary School
Grade: 9.8 CGPA
Activities and societies: Participated in district and state academic competitions and cultural events.
Completed secondary school education with high academic achievement.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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