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Vetted Git Professionals
Pre-screened and vetted.
Sanjay Mandru
Mid-Level Full-Stack Software Engineer specializing in cloud microservices and real-time analytics
“Software engineer who built a reusable React component package (UI modules, auth helpers, API client wrappers) for an AI SaaS background-removal project, emphasizing performance (tree shaking/dynamic imports) and reliability (Jest + Storybook). Also delivered a unified REST API for Samsung Big Data Portal, resolving cross-team issues by standardizing schemas, improving validation/logging, and operating effectively amid shifting requirements.”
Keerthi Kalluri
Senior Full-Stack & GenAI Engineer specializing in healthcare and financial services
“Built and deployed a production LLM-powered customer support assistant using a RAG backend in Python, focused on deflecting repetitive Tier-1 tickets and reducing resolution time. Demonstrates strong production engineering instincts around reliability (confidence scoring + human fallback), scalability/cost optimization (multi-stage pipelines), and workflow orchestration/observability (LangChain, custom DAGs, structured logging, step metrics).”
Niharika Bhasin
Intern Full-Stack Software Engineer specializing in AWS serverless and real-time web apps
“New-grad/early-career engineer who led high-stakes modernization of a field-operations platform from Firebase to AWS using an incremental/dual-write strategy, achieving zero downtime and ~30–32% infra cost reduction while improving scalability. Also built and productionized an AI-native code assistant (LangChain + Pinecone RAG) with measurable online metrics and safety guardrails, and has experience working directly with CEO/CTO/CPO and embedded with customer teams to ship enterprise features quickly.”
Karan Javali
Mid-Level Full-Stack Software Engineer specializing in FinTech and cloud-native web platforms
“Software engineer with experience at Goldman Sachs and Arizona State University’s Learning Engineering Institute, shipping production backend systems including a vendor equities invoice-generation service designed for extensibility across multiple vendors. Built Django REST + PostgreSQL backends with JWT auth and Pytest coverage, and delivered data-heavy, responsive Angular dashboards; also has exposure to AWS EC2 deployments and GitLab CI/CD automation.”
Nikhitha santhoshi Maroju
Mid-level Full-Stack Software Engineer specializing in Java/Spring microservices on AWS
“Built and shipped a production LLM-powered fraud investigation agent using RAG to generate transaction explanations and draft analyst reports. Emphasizes production robustness (fallbacks, strict structured outputs, async orchestration, monitoring/evals) and reports measurable impact: ~12% precision lift and ~80 high-priority alerts per week with reduced manual effort.”
Eric James
Senior Game Developer specializing in Unity, gameplay systems, and blockchain features
“Unity/C# gameplay engineer who has owned and shipped modular progression/rewards/inventory systems, including a separated blockchain integration layer that drove higher engagement while keeping performance stable at scale. Also implemented AI behaviors with Unity ML-Agents using a training/inference separation approach, and has hands-on experience debugging platform-specific state issues during console certification across multiple shipped platforms (mobile/console/PC/WebGL).”
Sai Kumar
Mid-Level .NET Developer specializing in microservices and cloud-native FinTech/Healthcare systems
“Backend engineer with healthcare and financial services experience (Humana, PNC) who owned production-grade, high-volume ingestion-to-API pipelines end-to-end in C#/.NET and SQL. Strong focus on data quality, handling out-of-order/partial upstream records, and improving reliability/observability via structured logging and telemetry, plus significant SQL performance tuning to reduce peak-load issues.”
Krishnamraju Penumatsa
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
“Data engineer currently at American Airlines who built and owned end-to-end flight operations and booking data pipelines (batch + real-time) using Azure Data Factory, Kafka, Spark/Databricks, Synapse, and Snowflake—processing hundreds of GBs/day. Strong focus on reliability and data quality (idempotency, checkpointing, retries, validation/alerts) and delivered near-real-time analytics powering Power BI dashboards; previously helped stand up an early-stage data platform at Sysco on AWS (Glue/S3/Redshift) with Airflow and Jenkins CI/CD.”
Lakshmi Nallani
Junior Data Analyst specializing in analytics, BI, and machine learning
“Analytics-focused candidate with experience owning end-to-end data projects across AI transcription, retail forecasting, and transportation revenue analytics. They combine strong SQL/Python pipeline skills with dashboarding and stakeholder alignment, citing measurable impact including 60% lower ETL latency, 18% better forecast accuracy, and 25% operational efficiency gains.”
Kevin Cleveland
Staff DevOps Engineer specializing in cloud platform and SRE
“Platform/infrastructure engineer with hands-on ownership of Kubernetes, Terraform, VMware, and hybrid on-prem/AWS environments. Stands out for combining deep platform build/upgrade experience with strong incident response and reliability practices, including a Terraform redesign at H&R Block that reduced provisioning time by 40% and hybrid networking improvements that hardened Direct Connect failover.”
Firoz Shaik
Mid-level Data Analyst specializing in business intelligence and customer analytics
“Healthcare-focused data analyst with hands-on experience at Molina Healthcare building SQL and Python workflows for retention and churn analytics. They combined enrollment, CRM, and claims data into Power BI reporting, automated predictive churn analysis, and tied their work to measurable outcomes including faster processing, better reporting accuracy, and reduced churn.”
Neda Bokhari
Entry-level AI product and data professional specializing in workflow automation
“Early-stage go-to-market candidate at Retroshift who has owned outreach across users, investors, and prospective clients in a zero-to-one environment. They’ve helped onboard 20+ alpha users and pushed the company into 3+ accelerator interview processes, showing strong traction-building ability through scrappy, multi-channel outbound.”
Udirno Chaudhuri
Mid-level Data Analyst and Product professional specializing in FinTech and AI applications
“Payments/product-focused operator with hands-on experience owning complex bank connectivity deployments at Paystand, including a migration that raised connection success from under 50% to 79%. Also built a production-grade multi-agent document intelligence system on AWS Bedrock for structured enterprise document extraction, combining real-world fintech domain pain points with modern LLM architecture.”
Anthony Thanpoovong
Entry-level Software Engineer specializing in cloud, AI, and full-stack development
“Backend/AI engineer with hands-on experience building LLM-powered data products and AI platform workflows, including a project that turns tabular datasets into graphs, summaries, and chat-based insights with 1-2 second latency. Also contributed at TELUS to a Sovereign AI Factory self-serve onboarding platform tied to 100+ NVIDIA H200 GPUs, giving them an interesting mix of applied LLM, platform, and infrastructure exposure.”
Yuchen Wang
Intern Software Engineer specializing in full-stack development and AI/ML
“Built and maintains an AI Finance Tracker end-to-end as a solo full-stack product owner, from Figma designs and React frontend to Flask APIs, Firestore, auth, deployment, and AI insights. Stands out for combining product instinct with pragmatic engineering decisions like pre-aggregating financial data to control LLM costs and adding OCR receipt scanning based on real user feedback.”
Bharath Seshavarapu
Mid-level Salesforce Developer specializing in CRM automation and integrations
“Salesforce-focused engineer with hands-on depth across Service Cloud, OmniScript/DataRaptor, LWC, Aura, and Apex. Particularly strong in building metadata-driven workflows that let operations teams change intake flows without developer tickets, while still making disciplined architecture decisions around when custom code is actually warranted.”
Michael Yeung
Mid-level Software Engineer specializing in FinTech trading platforms
“Built and deployed internal trading tools at Wells Fargo that reduced manual production-support dependency for trader configuration workflows. Brings hands-on experience in financial systems, data quality, and production incident resolution, including building 400+ SQL validation rules and designing an internal RAG assistant for engineering documentation.”
Venkata Surendra Kommineni
Senior AI/ML Engineer specializing in Generative AI and agentic systems
“Built and deployed an agentic RAG assistant in production to automate enterprise knowledge search and multi-step workflows with tool calling, tackling real-world issues like hallucinations, retrieval accuracy, and latency. Demonstrates strong LLMOps and orchestration depth (MLflow, Airflow, LangGraph/LangChain/LlamaIndex) plus a metrics-driven approach to agent testing/evaluation and cross-functional delivery with business stakeholders.”
Sriram Degala
Senior AI/ML Engineer specializing in healthcare and finance AI
“Built production-grade medical AI systems at MD Anderson, including an end-to-end RAG chatbot used by clinical researchers for real-time drug interaction and trial literature queries. Stands out for combining healthcare domain knowledge with strong MLOps, evaluation, and safety practices, and for delivering measurable gains in latency, retrieval precision, and team adoption.”
Satyanarayana Torati
Mid-level Software Engineer specializing in backend, full-stack, and GenAI for FinTech
“Software engineer with 4 years of experience spanning scalable backend systems, full-stack product development, and production LLM integrations in finance, insurance, and e-commerce contexts. They describe shipping an AI-powered internal financial analysis tool, improving document-review workflows by 40%, and driving a zero-to-one B2B SaaS subscription launch with cross-functional GTM alignment.”
Ajitha Rachamanti
Mid-level Data Analyst specializing in healthcare and financial analytics
“Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.”
Rishikesh Vepura
Mid-level Software Engineer specializing in backend, cloud, and full-stack systems
“Full-stack engineer at an early-stage startup with hands-on production experience spanning Angular frontend features, backend safety checks for an image-generation workflow (OpenAI Safety), and AWS operations. Built CI/CD to ECS with GitHub Actions, implemented CloudWatch observability, and improved release reliability via Blue/Green deployments with automatic rollback.”
Yashwanth Reddy
Mid-Level Software Engineer specializing in backend microservices and cloud platforms
“Backend engineer in healthcare data systems who has owned production pipelines end-to-end, from ingesting patient and claims data to serving it through secure APIs. Brings a strong mix of Python, SQL, microservices, cloud deployment, and data reliability practices, with measurable performance gains and experience building resilient integrations with external data sources.”
VINAY KUMAR VIPPALA
Mid-level Software Engineer specializing in FinTech backend systems
“Full-stack product engineer with hands-on ownership from React UI through Spring Boot APIs and SQL data layers, focused on transaction-heavy fintech workflows. Built both a transaction reconciliation system and a 0-to-1 AI-based anomaly detection workflow at LeisurePay, combining performance-minded frontend engineering with pragmatic product delivery.”