SYSTEM://LOKESH / PRODUCTION ENGINEERING
LOKESHPRASANTHGADESULA
Senior Software & Applied AI Engineer
Distributed Systems • Backend Infrastructure • LLM Evaluation • Agentic Workflows
I engineer the infrastructure behind intelligent systems.
Distributed systems, data pipelines, and AI evaluation built to hold up in production.
I don't just use intelligent systems.I build, test, break, and improve them.
6+years building production systems
40%lower functional regression rate
Millionsevents processed daily
PythonGoSparkKafkaAWS
// WELCOME TO MY WORLD
This isn’t just a website, it’s a world I’ve built. Every system, project, interaction, and hidden detail is connected. Explore beyond the surface, follow the connections, play the game and discover everything I’ve created.
LIVE TOPOLOGYPRODUCTION PATH
HEALTHYTRACE MODE / INTERACTIVEPATHS / 08
01
SYSTEM OVERVIEW
Three disciplines. One reliable system.
My work connects distributed systems, data engineering, and LLM evaluation to keep intelligent applications reliable at scale.
MODULE / AI ACTIVE
PROMPT
AGENT
TOOL
EVALUATOR
TELEMETRY
- Automated evaluation benchmarks
- Hallucination detection
- Synthetic data generation
- RAG architectures
- Tool-augmented agents
- Structured-output validation
- Model telemetry
ENGINEERING IMPACTRESULTS / ENGINEERING IMPACT
02
ENGINEERING LOG
The work behind the systems.
The systems built in each role, the measurable improvements made, and the tools used along the way.
DEPLOYMENT / 04
DEPLOYEDSenior Software Engineer & AI Evaluation Specialist
Pionner Solutions · 2025 → PRESENT
- 01
Built end-to-end LLM evaluation and benchmarking frameworks that reduced functional regressions by 40%.
- 02
Engineered distributed Python and AWS ECS test harnesses to evaluate reasoning, tool calls, and deterministic outputs across thousands of scenarios.
- 03
Designed low-latency validation services that cut integration test execution time by 35%.
- 04
Added distributed telemetry and structured logging to make inference anomalies and bottlenecks easier to trace.
PythonAWS ECSLLM EvaluationDockerPostgreSQLTelemetryDistributed Systems
03
TECHNOLOGY GRAPH
Skills, traced to real work.
Each technology links back to the systems and projects where it was used. Explore the evidence behind the stack.
CAPABILITY MAPSELECT A NODE / TRACE EVIDENCE
01LANGUAGES
02DATA
03AI
04CLOUD
04
ENGINEERING LAB
Projects built for real workloads.
Each project shows the data flow, failure paths, and engineering choices behind the architecture.
PROJECT / LLM-EVAL
Enterprise LLM Evaluation & Red-Teaming Harness
I designed this evaluation harness to pressure-test LLM tool calls, structured JSON, and edge-case code generation across 1,000+ synthetic scenarios.
PythonDockerAWS LambdaPostgreSQLPytestLangChain / LlamaIndex
01PROMPTS
02SCENARIO GENERATOR
03LLM
04TOOL EXECUTION
05VALIDATOR
06SCORING ENGINE
07TELEMETRY
05
PACKET ROUTER
Route the workload.
A short routing challenge based on the architecture decisions I make when building production systems.
WORKLOAD ROUTER / SESSION 01
0 / 4INCOMING REQUEST
Streaming Event
High-volume event stream requiring distributed processing.
SYSTEM STATUS
Working across the stack.
Applied AIACTIVE
Backend EngineeringACTIVE
Distributed SystemsACTIVE
Data EngineeringACTIVE
Cloud InfrastructureACTIVE
CURRENT OBJECTIVEBuilding intelligent infrastructure that stays reliable in production.
TARGET ROLES
Applied AI EngineerAI Systems EngineerSenior Backend EngineerSenior Distributed Systems EngineerSenior Data Platform Engineer
06
INTERACTIVE TERMINAL
Explore the work from the command line.
A small portfolio terminal for navigating my experience, projects, and engineering focus.
Portfolio shell ready. Type `help` to inspect available commands.
07
ESTABLISH CONNECTION
Let’s build something that has to work.
Backend platforms, data infrastructure, and production AI are the problems I like solving. If that sounds useful, let’s talk.