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Vetted API Integration Professionals
Pre-screened and vetted.
Ti Wu
Junior Full-Stack Developer specializing in web apps and reinforcement learning
“Built an AI basketball shooting coach that analyzes player form against NBA players and recruited 30+ beta users via Reddit to drive iterative UI/workflow improvements. Also has internship experience building an administrative server and coordinating API/database compatibility with another client server, emphasizing communication and integration quality.”
Uday kumar swamy
Senior Machine Learning Engineer specializing in MLOps and NLP/GenAI
“Built a production LLM-agent framework for a startup that performs daily financial/trading analysis by combining live market data with internal tools, including a centralized memory module to prevent context drift and reduce hallucinations. Also implemented an Airflow-orchestrated retail price forecasting pipeline deployed to AWS endpoints, scaling parallel workloads via Kubernetes Executor and validating systems with rigorous functional + LLM-specific metrics and cross-team collaboration.”
Saaketh Sodanapalli
Intern AI/ML Engineer specializing in full-stack and data systems
“Built an LLM-powered customer segmentation agent during a Chewy internship, consolidating Snowflake data into a knowledge graph so non-technical marketing users could query customer cohorts in natural language. Stands out for combining agent/tooling design with rigorous data engineering practices, including schema audits, imputation, validation layers, and idempotent pipelines on messy large-scale datasets.”
Ravindrareddy B
Junior Full-Stack Java Developer specializing in enterprise web applications
“Full-stack engineer with hands-on experience building an internal telecom order-tracking/dashboard platform at T-Mobile across React, Spring Boot, and PostgreSQL. Stands out for owning features end-to-end, from scalable frontend architecture and TypeScript patterns to API design, query optimization, CI/CD, and post-launch monitoring in AWS CloudWatch.”
Rajesh Kumar
Mid-Level Full-Stack Software Engineer specializing in React, Node.js, and cloud-native systems
“Data engineer/backend engineer with healthcare domain experience at Centene, where they owned an end-to-end claims processing pipeline handling over 1 million monthly records. They combine Python/SQL pipeline work with API and event-driven service development, and cite a measurable 35% reduction in incident detection time through automated monitoring and validation.”
“Backend engineer focused on productionizing LLM systems: built a FastAPI-based RAG and multi-agent automation platform deployed with Docker/Kubernetes, prioritizing safe execution and reduced hallucinations. Experienced in refactoring monolithic ML services with feature-flagged incremental rollouts, and implementing JWT/RBAC plus row-level security (e.g., Supabase) for secure, scalable APIs.”
bikramjit ganguly
Staff Full-Stack Engineer specializing in API-driven web platforms and distributed systems
“Highly agent-centric builder who uses Codex daily to generate and manage full application repos, including Next.js CRUD apps, GitHub automation, and AWS lifecycle scripts to avoid long-lived cloud artifacts. They also experiment with multi-agent workflows for parallel development and correctness checking, showing strong practical fluency with emerging AI-native software development patterns.”
Rutuja Sanjay Risbood
Senior Full-Stack Software Developer specializing in enterprise web and mobile applications
“Front-end engineer with unusually deep browser-systems knowledge, having built and owned a real-time merchant analytics platform for financial analysts handling millions of live transactions. Stands out for combining low-level performance engineering, typed React architecture, and expert-user UX polish, with strong measurable outcomes across speed, usability, and maintainability.”
Scott Evans
Director-level Product Leader specializing in platforms, marketplaces, workflow automation, and AI
“Product leader with experience across marketplaces, AI/ML operations products, and education-focused research. Led the Angi native app rebuild that generated $5M+ in revenue, shipped an OCR/ML title-processing product at Cox, and is now focused on K-12 workforce pathways and human-centered AI.”
Aishwarya Ashok Medhe
Mid-level Presales Consulting Engineer specializing in SaaS, AI, and enterprise solutions
“B2B SaaS presales/solutions engineer with recent experience spanning Cisco enterprise infrastructure and AI-driven POS analytics products. Supported 120+ enterprise accounts, helped drive a $10M renewal/expansion in financial services, and combines classic enterprise SE skills with hands-on API, SSO/SAML, ETL, Python, SQL, and LLM/RAG integration experience.”
Binaal Bopana
Mid-level Solutions Engineer specializing in AI, cloud, and enterprise automation
“Early-career solutions engineer with experience spanning Dell Technologies and insurance operations, combining enterprise hybrid cloud pre-sales exposure with hands-on AI and API integration work. Completed a master's at Illinois Institute of Technology while building customer-facing experience in technical discovery, POCs, security/compliance discussions, and workflow automation.”
Noah Cussatti
Junior Full-Stack Developer specializing in enterprise manufacturing SaaS
“Frontend engineer with experience building complex enterprise web applications used by thousands of manufacturing plants globally. Stands out for pragmatic architecture decisions—especially using a BFF to tame legacy APIs and improving delivery by abandoning an overbuilt custom grid effort—while also focusing on accessibility, browser-level debugging, and regression prevention.”
Bala Sistla
Senior Full-Stack Engineer specializing in FinTech and enterprise web applications
“Full-stack/product-minded engineer with strong distributed systems depth, spanning Spring Boot/Kafka microservices, Kubernetes observability, and large-scale React/TypeScript frontends. Particularly compelling for teams building real-time operational products: they describe owning payment/inventory services, designing telemetry dashboards for 150+ services, and helping move claims tracking from polling to event-driven architecture.”
SAIKUMAR PALADUGU
Mid-Level Full-Stack Software Engineer specializing in cloud-native MERN microservices
“Full-stack engineer who built an internal user-activity tracking and reporting system end-to-end using React/TypeScript, Node/Express, and Postgres, deployed on AWS (EC2/ALB, S3/CloudFront) with CloudWatch observability. Emphasizes reliability and data correctness via idempotent ingestion, retries with exponential backoff, backfills/reconciliation, and performance tuning as data scales, and has experience shipping quickly in ambiguous early-stage startup conditions.”
Rifat Mahfuz
Junior Backend Software Engineer specializing in microservices and API platforms
“Backend engineer with strong performance and security instincts: built a Flask API for readability metrics with clean, testable modular design; optimized SQLAlchemy/Postgres to eliminate N+1 issues (800ms to 120ms). Also implemented an LLM-powered natural-language travel search using Claude Sonnet + Amadeus with RAG and anti-exploitation safeguards, plus multi-tenant isolation via Postgres RLS and Redis caching that cut search latency from ~20s to ~4–5s while reducing storage costs.”
“Data engineer/backend engineer with experience in healthcare (Cardinal Health provider enrollment) and finance (Northern Trust) building and stabilizing data pipelines and REST services. Worked with APIs and Kafka at ~200k–300k records/day, improving data quality (DLQ + validation), performance (SQL/indexing), and reliability/observability (logging, alerts, consumer lag metrics), and stood up an early-stage financial data service with Jenkins-based CI/CD.”
Anthony Ngumah
Junior Embedded Software Engineer specializing in robotics, firmware, and AI-enabled systems
“Robotics-focused engineer with co-op experience building and debugging embedded C++/Python drivers for time-of-flight sensing on a Flex Stacker product, plus automation of large-scale test data collection via Google Drive/Sheets APIs to enable parallel robot testing. Also has ROS2 sensor-driver experience (GPS/RTK/IMU with custom messages/ROSbags) and is building a side project integrating Whisper-based live transcription with chunked abstractive summarization in a latency-aware pipeline.”
Rushir Bhavsar
Intern AI/ML Engineer specializing in LLMs, MLOps, and distributed training
“Founding AI engineer (June 2024) at Talon Labs who built and productionized an LLM-powered chatbot for interacting with proprietary supply-chain documents, deployed at large scale (25–100,000 users). Experienced with RAG/LLM orchestration (LangChain, LlamaIndex, Groq AI) and production ops tooling (Kubernetes, Docker, Kubeflow, Airflow), with a metrics-driven approach to evaluation, observability, and stakeholder alignment.”
Jianbo Wu
Mid-level AI/ML Engineer specializing in LLM reasoning and inference optimization
“Former Field Application Engineer at TestTorrent supporting proprietary hardware deployments. Built and integrated customer-requested benchmarking (including MLPerf-style work) by adapting GPU benchmark implementations and validating performance against NVIDIA baselines, plus delivered a backend fix that enabled customer performance testing and helped close a deal. Also has experience running models on AWS/GCP with multi-instance cost optimization techniques like memory offloading.”
Jax Diagana
Senior AI Engineer specializing in forward-deployed voice agents and incident-response automation
“FDE at Bland.ai and founder of Fi (incident-response agent) who routinely takes LLM/agentic concepts from prototype to production. Has hands-on experience reverse-engineering undocumented systems to deliver integrations, building LLM testbeds for voice-agent reliability, and rapidly shipping RAG/semantic search solutions (e.g., Confluence runbooks) after deep customer discovery with DevOps/SRE teams.”
Ankita A Khartmol
Junior Backend Software Engineer specializing in conversational AI and cloud APIs
“Backend/ML-focused software engineer who built and evolved a Python/FastAPI backend for a large-scale conversational AI platform, decoupling API and inference services to improve stability and deployment velocity. Experienced in production hardening (timeouts/fallbacks/monitoring), secure multi-tenant systems (JWT/RBAC/RLS), and low-risk migrations using shadow deployments and incremental traffic ramp-ups.”
Vu Tran
Senior Product Manager specializing in 0–1 platforms, AI workflows, and product operations
“Customer success/product-facing operator from AllRoomie (AI-powered rental marketplace) who owned an enterprise real estate brokerage account end-to-end. Improved conversion and adoption by automating lead intake/routing and fixing integration issues, citing ~40% less manual coordination, faster response times, and expansion into additional regions through ROI-driven land-and-expand motions.”
Farzam Ebadypour
Senior Security Sales Engineer specializing in AI security and edge WAF/API protection
“Enterprise customer success / technical sales professional with strong security and fintech account experience, owning onboarding through renewal for a ~5k-employee rollout. Demonstrated measurable outcomes including 80%+ adoption, 3-year renewal with expansion, CSAT 9/10 and NPS 69, plus a reported 60%+ reduction in security analyst review time; experienced driving SIEM/ticketing integrations and influencing product roadmap from customer feedback.”