Curriculum Vitae_
Nithin Jambula · Amaravati, India ·
nithinjambula89@gmail.com ·
github · linkedin ·
pdf
Profile
A software engineer working across robotics, agentic AI, and the architecture and infrastructure that connect them.
I've built end-to-end AI systems for autonomous vehicles, assistive technology, security and deepfake detection.
I design ML pipelines that scale, optimise models so they run on low-power edge devices, and put LLMs to work inside real applications.
My research grounding comes from the AIR Centre at VIT-AP.
Experience
Ananta Technologies · Robotics Software Intern Dec 2024 – present · India
- Worked with a US-based client to speed up build testing and streamline simulation workflows (~40% faster).
- Designed and ran robotic test scenarios in MuJoCo to validate performance.
- Tested on real Webots robotic platforms and analysed how the systems behaved.
- Helped deploy two robots within the internship timeline.
AIR Centre, VIT-AP · Student Researcher Jun 2024 – Nov 2025 · Amaravati
- Designed a neuro-symbolic system that uses LLMs to generate attack payloads (SQLi, XSS, BOLA) from real-time API metadata.
- Found 34% more vulnerabilities than SAST/DAST by combining symbolic reasoning with adaptive fuzzing.
- Cut manual security testing by 70% with automated OWASP-compliant risk scoring and exploit generation.
- Built a modular pipeline (input validation → fuzzing → auth checks → exposure analysis) that scales across multi-service APIs.
- Deployed an automated voice-calling system on ViciDial + Asterisk and researched outreach optimisation.
Vulcan: Self-Driving EV (VIT-AP initiative) · Robotics Intern, Team Lead Jan 2023 – present
- Lead perception and navigation software for a self-driving campus EV.
- Trained DeepLabV3+ on Mapillary: 67% multi-class road-scene segmentation accuracy.
- Implemented lane-following and turn-handling; built a CARLA + SAC pipeline and fine-tuned it with DAgger.
Sripto · Machine Learning Engineer Dec 2023 – May 2024 · Amaravati
- Built a retrieval-augmented generation (RAG) system that answers questions from private documents with context, in real time.
- Built PDF chatbots, a product-search matcher and a natural-language-to-SQL query engine.
- Oversaw deployment, scaling and integration of the ML backend with the frontend, through to production.
Projects
- 16fps: multi-agent video generation (sold commercially). Oct 2025 – present.
- EchoSight: assistive navigation glasses, patent pending. Dec 2024 – present.
- WOAT: context-aware conversational agent. 2023.
- DeepShield: deepfake detection, iSAI 2025. 2023.
- NeuroSecAPI: neuro-symbolic API security. 2024.
- ScreenAutomate: gesture and voice control. 2023–24.
Publications, patents & awards
- DeepShield: Face-Swap Deepfake Detection. 20th International Conference, iSAI 2025. bibtex
- Patent pending: EchoSight, an AI-powered assistive wearable.
- Awardee, Vikas 2024 Innovation Challenge (EchoSight).
- Winner, Engineering Clinics 2024 (real-time threat detection framework).
Skills
- Robotics & autonomy: ROS, MuJoCo, Webots, CARLA, NVIDIA Jetson, sensor fusion (camera, LiDAR, radar), path planning, control, RL (SAC, DAgger), real-time systems
- Agents & LLMs: LangChain, RAG pipelines, tool-using agents, multi-agent orchestration, memory & reflection, prompt engineering, LLaMA, Hugging Face, Gemini API
- Vision & deep learning: PyTorch, TensorFlow, ONNX, OpenCV, YOLOv8, DeepLabV3+, transformers, CNNs, semantic segmentation
- Architecture & infra: Docker, GCP, CI/CD, MLflow, Weights & Biases, Roboflow, CVAT, Git, edge deployment
- Languages: Python, C++, Java, SQL, Bash, JavaScript / Node.js, HTML; Next.js, Vite
Certifications
Leadership
- President, ACS International Student Chapter, VIT-AP. Aug 2023 – present.
- Marketing Member, SEDS VIT-AP. Jan 2023 – present.
Education
- B.Tech, Computer Science & Engineering, VIT-AP University, Amaravati. CGPA 8.0/10 (2023–2027)
- Class XII, Narayana Junior College. 95% (2021–2023)
- Class X, Vivekananda School. 99.3% (2021)