SAIRAM VEEREDDY.
AI Engineer.
I deliver intelligent AI solutions.
Bridging data
and machine learning.
Summary
AI Engineer with 5+ years of experience designing and delivering intelligent data and AI solutions across telecom, e-commerce, and talent technology sectors. Proficient in building end-to-end machine learning pipelines, integrating AI-driven automation, and developing scalable backend systems that convert complex business requirements into measurable outcomes. Experienced with Python, Spark, SQL, and cloud platforms (GCP, Azure, AWS), with strong hands-on ability across the full AI/ML lifecycle — from data ingestion and model development to production deployment and monitoring.
Skilled in orchestrating batch and real-time data pipelines with Airflow and Spark, applying statistical and ML models for prediction and segmentation, and implementing observability frameworks for SLA compliance. Effective collaborator with product, analytics, and engineering teams — translating ambiguous requirements into well-governed, documented AI-powered data products. Certified in Microsoft Azure (AZ-900) and well-versed in CI/CD best practices using Git and Docker.
Core Skills
- AI/ML: Machine Learning, Predictive Modeling, Feature Engineering, NLP, Model Fine-tuning
- Languages & Frameworks: Python, SQL, Scala, PySpark, TensorFlow, Keras, Scikit-learn, XGBoost
- Data & Pipelines: Apache Spark, Airflow, Kafka, GoldenGate, ETL/ELT, CDC, Dimensional Modeling
- Cloud & MLOps: AWS SageMaker, GCP (Dataproc, BigQuery), Azure, Databricks, Docker, Kubernetes, CI/CD
- Databases & Warehouses: Snowflake, BigQuery, MySQL, SQL Server, Oracle DB
- Tools & Visualization: Power BI, Git, Postman, REST APIs, Apache Airflow, MS Visio
Professional Experience
AI Engineer
Astra Corp | Feb 2026 – Present | Remote
- Contribute to building an intelligent talent discovery and matching platform, applying AI and ML techniques to improve candidate-role fit accuracy and reduce time-to-match.
- Develop and optimize data ingestion pipelines that aggregate and normalize large volumes of professional profile and opportunity data from diverse sources.
- Design and deploy ML models for semantic search, relevance ranking, and personalization, improving user experience and engagement across the platform.
- Collaborate with product and engineering teams to define AI feature requirements, build evaluation frameworks, and iterate on model performance using real-world feedback.
- Implement observability and monitoring for AI model outputs, ensuring freshness, quality, and reliability of recommendations at scale.
- Apply NLP techniques for entity extraction, skill taxonomy mapping, and structured data enrichment from unstructured professional content.
Founder & AI Developer
JobNinjas.ai | Mar 2025 – Present | Remote
- Built and launched JobNinjas.ai, an AI-powered job discovery and application platform that aggregates job listings from multiple sources into a single interface.
- Designed and developed core AI features including smart job matching, resume tailoring assistance, and streamlined application workflows using LLM-powered agents built with LangChain and LangGraph.
- Architected a RAG pipeline using LlamaIndex and ChromaDB to enable personalized job recommendations and context-aware resume suggestions.
- Integrated OpenAI APIs and AWS Bedrock for natural language understanding, cover letter generation, and recruiter outreach automation.
- Managed the full product lifecycle leveraging FastAPI, Docker, and CI/CD pipelines for scalable, reliable infrastructure.
- Built automated job aggregation workflows using cloud-based infrastructure (AWS Lambda, Azure Functions) to ingest, normalize, and index listings.
AI Engineer
Ai Talent Inc | Mar 2025 – Feb 2026 | Alpharetta, GA
- Built batch and incremental ETL/ELT pipelines using Spark and Python to move data from OLTP sources through staging, curated, and mart layers; enforced data quality with unit tests and expectations.
- Orchestrated AI-powered pipelines with Airflow — managing DAGs, SLAs, retries, and environment-specific deployments via CI/CD for reliable, automated execution.
- Modeled analytics layers using dimensional and data-vault patterns; delivered subject-area marts for Finance and Operations with clear documentation.
- Implemented CDC feeds (GoldenGate/Kafka → Spark) to enable near-real-time data consumption and reduce latency in downstream AI model inputs.
- Tuned pipelines for cost and performance on GCP and Azure (Dataproc, Databricks) using autoscaling, partitioning, file-size compaction, and Z-order/clustered tables.
- Managed Snowflake and BigQuery objects with query tuning via micro-partitioning and access governance best practices.
- Built monitoring and observability dashboards tracking job success rates, SLA breaches, backlog depth, and data freshness.
- Partnered with product and analytics stakeholders to define SLAs/SLOs and acceptance criteria, translating ambiguous requirements into clearly scoped data products.
Data Analyst
Precisesoft Inc | Jul 2024 – Mar 2025 | Dallas, TX
- Analyzed and designed systematic solutions aligned with customer requirements, ensuring compliance with IT standards and policies.
- Collaborated with stakeholders to gather functional specifications and translated business requirements into technical solutions using Python, SQL, and Power BI.
- Developed workflow charts, data flow diagrams, and logical process sequences to organize project requirements and guide implementation.
- Designed and maintained applications and databases delivering tailored software solutions to streamline business operations and improve reporting accuracy.
Associate Software Engineer
Tech Mahindra | Aug 2020 – Jul 2022 | India
- Utilized Python, SQL, Power BI, and Visio to perform data engineering tasks including data extraction, transformation, and visualization.
- Contributed to the Telefonica Germany telecom project, leveraging Hansen Catalog to develop and enhance data solutions for telecom operations.
- Utilized Git and Docker for version control and containerization, ensuring consistency and scalability of engineering processes.
- Designed and maintained RESTful APIs and web services to facilitate seamless data exchange and communication between systems.
- Implemented advanced data visualization solutions using Power BI, enabling stakeholders to gain actionable insights.
Certifications
- Microsoft Azure AZ-900 – Microsoft Azure Fundamentals
- Explore Generative AI with the Gemini API in Vertex AI – Google Cloud Skill Badge
- AI Fluency Framework & Foundations – Certificate of Completion
- Robotic Enterprise Framework Overview – UiPath
- Orchestrator for RPA Developers – UiPath
Education
Master of Science: Management Information Systems
University of Illinois at Springfield | 2024
Bachelor of Technology: Electronics & Communication Engineering
ACE Engineering College, Hyderabad | 2020
Key Projects
RAG Pipeline / FastAPI
Enterprise Patent & Research Assistant
End-to-end RAG pipeline using LangChain, LlamaIndex, and ChromaDB on Azure OpenAI and AWS Bedrock for intelligent patent retrieval.
LangChain / AWS Lambda
Text-to-SQL Analytics Copilot
Conversational analytics copilot converting natural language queries into SQL, enabling non-technical users to query structured data intuitively.
Agentic RAG / LangGraph
AI Job Application Copilot
Agentic job application assistant generating tailored resumes, cover letters, and recruiter outreach emails using LangChain and LlamaIndex.