Singisetti Chitraksh
Open to work2 years experienceAI Engineer
AI Engineer specializing in GenAI, RAG, and Deep Learning.
Standing Rank
Rank Not Available
Developer Badges
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Skills & Technologies
26 skillsWork Experience
AI Engineer
Orion Innovation
- Developed OI Nexus, an internal AI chatbot answering employee queries on HR policies, hybrid-work guidelines, and leave procedures, cutting average query resolution time by 40% and repetitive HR ticket volume by 30%.
- Built and optimized RAG pipelines using embeddings and vector search over enterprise document repositories, improving retrieval accuracy by 25% and reducing irrelevant results returned to users by 35%.
- Engineered document ingestion, chunking, and indexing workflows for large internal knowledge bases, enabling reliable processing of 10,000+ documents while reducing indexing latency by 20%.
- Refined chatbot response quality through iterative prompt engineering, retrieval tuning, and systematic response evaluation, increasing answer accuracy by 15% and user satisfaction scores by 20%.
- Partnered with HR and product stakeholders to define requirements and ship new features, driving a 30% increase in platform adoption within the first quarter of rollout.
Software Engineer Intern
Liquidmind AI
- Developed and deployed backend Flask APIs to integrate a WhatsApp bot for business automation workflows, reducing manual message-handling effort by 30%.
- Built an OCR pipeline using Document AI to extract structured information from unstructured documents, improving data extraction accuracy and cutting manual data-entry time by 40%.
- Collaborated with senior engineers to test and refine API endpoints prior to release, improving system reliability and reducing post-deployment bug reports.
Projects
Plant Disease Detection Using Feature Fusion
- Designed a deep learning model fusing spatial (RGB) and spectral (hyperspectral) features for plant disease classification, achieving 97% classification accuracy — a 5% improvement over single-modality baseline models.
- Preprocessed and augmented a dataset of 5,000+ plant images with OpenCV and NumPy, improving model generalization and reducing overfitting by 15%.
- Co-authored the findings for publication at an IEEE conference, contributing novel multi-modal fusion techniques to agricultural disease-detection research.
- Worked extensively with hyperspectral plant image data, performing spectral band selection, normalization, and feature extraction to improve disease pattern identification across multiple crop varieties.
- Implemented feature fusion techniques combining handcrafted descriptors (HOG) with ResNet50-based deep features, enhancing robustness under varying lighting and environmental conditions.
LLM Reasoning Trace Annotator & Evaluator
- Authored 200+ structured, step-by-step reasoning traces for complex technical tasks using chain-of-thought and tree-of-thought prompting strategies, improving downstream LLM task accuracy by 12%.
- Built automated evaluation scripts to validate reasoning-trace quality against JSON Schema specifications, reducing manual review time by 30%.
- Leveraged OpenAI API, Anthropic Claude API, LangChain, and LangGraph to prototype and test reasoning workflows, increasing annotation throughput by 25%.
- Evaluated model outputs for hallucination, safety, and reasoning consistency using structured benchmarks and iterative prompt refinement, improving response reliability for complex tasks.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
IEEE Conference Publication
IEEE Conference Publication: Plant Disease Detection Using Feature Fusion
AWS Certified Cloud Practitioner
AWS Certified Cloud Practitioner
About Details
Professional Bio
AI Engineer with expertise in GenAI, RAG pipelines, and deep learning. Proven track record in developing enterprise AI solutions, optimizing retrieval accuracy, and improving system performance through iterative prompt engineering and model evaluation.
B.Tech in Computer and Communication Engineering
Amrita Vishwa Vidyapeetham (2020 - 2024)