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Vetted Recurrent Neural Networks (RNN) Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and scalable cloud ML
Mid-level AI/ML Engineer specializing in MLOps, LLMs, and computer vision
Mid-level Software Engineer specializing in Generative AI and backend systems
Mid-level AI/ML Engineer specializing in LLM agents, search/recommendation, and MLOps
Senior AI/ML Engineer specializing in Generative AI, LLMs, and Computer Vision
Mid-level GenAI Engineer specializing in agentic workflows, RAG, and LLM orchestration
Mid-level Software Engineer specializing in AI/GenAI and cloud-native backend systems
Mid-level AI Engineer specializing in NLP, computer vision, and MLOps
Junior Robotics Software Developer specializing in ROS2, simulation, and computer vision
Mid-level AI/ML Engineer specializing in cloud AI, MLOps, and NLP
Lakshmi Swathi Sreedhar
Mid-level AI Engineer specializing in Generative AI and LLM systems
“Built and deployed a production-grade, multi-agent Text-to-SQL assistant that lets non-technical stakeholders query large enterprise databases in natural language. Uses Pinecone-based schema retrieval + LLM reasoning (Gemini/Claude/GPT) with a dedicated validation agent (schema/syntax checks and safe dry runs) to reduce hallucinations and improve reliability, while optimizing latency and cost via async execution and embedding caching.”
Presha Nakrani
Intern Software Developer specializing in ML, NLP, and data engineering
“Robotics competition (ABU Robocon) team member who programmed two robots for a rugby-style game, integrating IoT sensors and real-time decision-making. Implemented low-latency, secure inter-robot communication by moving from Bluetooth to ESP8266/NodeMCU WiFi (with Bluetooth as backup) and used OpenCV plus CNN training workflows for vision-related tasks; no practical ROS/ROS2 experience.”
Venkatalakshmi Kottapalli
Mid-level AI/ML Engineer specializing in LLMs, RAG pipelines, and MLOps
“LLM engineer/data analyst who built a production RAG QA assistant over the Jurafsky & Martin NLP textbook to reduce hallucinations and provide explainable, source-grounded answers. Experienced with LangChain/LangGraph orchestration, retrieval optimization (embeddings, vector DBs, caching), and rigorous evaluation/monitoring (Retrieval@K, A/B tests, telemetry/drift). Previously communicated analytics insights to non-technical stakeholders at GS Analytics using Power BI and simplified reporting.”
Vedasahaja bandi
Mid-level AI Engineer specializing in NLP, computer vision, and healthcare analytics
“Data scientist who has built production LLM agents (GPT-4o + LangChain + RAG) to automate analyst-style ad hoc CSV analysis with guardrails and GPT-as-a-judge evaluation. Also delivered an explainable healthcare NLP system for ICD code classification by collaborating closely with clinicians, using a hybrid rule-based decision tree + BERT model to reach 97% accuracy and cut manual review time.”
Rohith Reddy Aleti
Mid-level Data Scientist specializing in AI, analytics, and predictive modeling
“Data analytics and BI professional with experience turning messy institutional and customer data into decision-ready reporting and predictive systems. They combine strong SQL/Python execution with end-to-end ownership of churn analytics, stakeholder alignment, and operational rollout into dashboards and CRM workflows.”
Srikar Tharala
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”