# Snehita B > AI Engineer | Software Engineer | Applied AI & Automation Systems | Python, Java Profile: https://flows.cv/snehita AI Engineer and Software Engineer focused on building machine learning pipelines, AI-driven automation workflows, and backend-integrated systems using Python and Java. I’ve built applied AI solutions across NLP, computer vision, and structured data, and contributed to real-world automation systems during internships by integrating APIs, LLM-based services, and multi-step orchestration logic to support business processes. My experience includes designing end-to-end ML pipelines, comparing and evaluating model architectures, and turning experimental code into reliable engineering solutions that extend beyond standalone notebooks. I approach problems with a systems mindset, emphasizing clarity, robustness, and practical usability. I’m currently expanding into agentic AI architectures and retrieval-augmented generation (RAG) through focused learning and hands-on projects, with a long-term goal of building scalable, production-oriented AI systems. I’m seeking early-career roles in AI Engineering or Software Engineering where I can contribute immediately as a hands-on builder, grow into greater system ownership, and work on impactful, real-world problems. ## Work Experience ### AI Integration Engineer @ Crestview AI Agency Jan 2025 – Jan 2025 | United States •Architected GenAI-driven automation pipelines using OpenAI APIs to convert unstructured audio inputs into structured, schema-aligned datasets, enabling seamless integration with downstream analytics workflows. •Engineered advanced prompt engineering frameworks enforcing structured JSON schema outputs, improving LLM response consistency and increasing downstream data parsing reliability by 35% using NLP best practices. •Implemented LLM output validation layers with retry mechanisms to detect malformed responses, mitigate hallucination risks, and improve response accuracy and system stability in high-volume AI-driven workflows. •Developed Python-based preprocessing pipelines to normalize, validate, and transform AI-generated outputs ensuring schema compliance and enabling efficient integration with enterprise data platforms and analytics systems. •Conducted LLM performance evaluation through structured sampling, response benchmarking, and format validation, optimizing prompts and reducing output variance by 30% while improving model reliability. •Optimized OpenAI API execution workflows through batching strategies and asynchronous processing, improving pipeline throughput and reducing processing latency during peak workload periods. •Produced comprehensive technical documentation covering system architecture, prompt design logic, data flow, and workflow dependencies, enabling maintainability, knowledge transfer, and scalable enterprise deployment ### AI Agent Developer @ NeuralSeek Jan 2025 – Jan 2025 | United States •Developed LLM-powered AI agents using Claude and structured prompt engineering with task decomposition strategies to automate domain-specific workflows, improving process efficiency and reducing manual processing errors. •Evaluated agent performance through iterative testing, prompt refinement, and accuracy analysis to improve output reliability. •Conducted governance and ethical assessments to ensure responsible AI deployment aligned with security and compliance standards. •Participated in collaborative design sprints to assess solution trade-offs, refine architectures, and improve model behavior. •Led integration of AI agents into real-world applications by orchestrating APIs and automating workflows, significantly improving operational efficiency and accelerating the delivery of new business solutions. •Worked independently in a remote-first environment to deliver projects on time every sprint, producing clear documentation that reduced new team member onboarding time by 50% ### AI/ML Engineer @ Tsss Infotech & Infra Pvt. Ltd. Jan 2021 – Jan 2023 | India •Designed RAG pipelines combining vector search and LLMs to ground responses in proprietary enterprise data, increasing factual accuracy by 38% and reducing hallucinations in production AI applications by 45%. •Implemented differential privacy mechanisms using TensorFlow Privacy to safeguard sensitive enterprise datasets, ensuring regulatory compliance while reducing data leakage risk by 40% across AI-powered analytics and decision systems. •Implemented fine-tuning techniques for domain-specific transformer models using Hugging Face Transformers to enhance semantic understanding of enterprise documents, boosting contextual retrieval precision by 36% and accelerating AI adoption across client workflows. •Integrated GPT-3 and Gemini models for enterprise knowledge reasoning and content generation, enabling AI-assisted insights across business functions, reducing manual analytical effort by 42% and improving response relevance scores by 31%. •Developed gradient-boosted models with XGBoost to power predictive intelligence modules, improving forecast accuracy by 33% and enabling data-driven optimization across financial, operational, and risk-assessment scenarios. •Architected automated CI/CD pipelines using GitHub Actions for AI model deployment and retraining, reducing release cycles by 52% and ensuring consistent, regression-free rollout of AI capabilities at scale. •Implemented reinforcement learning agents using Ray RLlib to optimize adaptive decision strategies, improving policy convergence speed by 28% and enabling AI systems to respond to dynamic enterprise conditions 35% faster. •Built A/B testing frameworks with Statsmodels to validate AI-driven recommendations, confirming a 27% performance uplift and enabling data-backed rollout of AI features across enterprise platforms ## Education ### Master's degree Northern Illinois University ## Contact & Social - LinkedIn: https://linkedin.com/in/snehitab - GitHub: https://github.com/snehita02 - Portfolio: https://github.com/snehita02 - Email: mailto:snehitabharata26@gmail.com --- Source: https://flows.cv/snehita JSON Resume: https://flows.cv/snehita/resume.json Last updated: 2026-04-16